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models, where each such model is constructed using zero-order conditional probability estimators. Willems; Shtarkov; Tjalkens (1995), "The Context-TreeMethod of conditional probabilities (3,148 words) [view diff] exact match in snippet view article find links to article
random experiment by a deterministic choice, so as to keep the conditional probability of failure, given the choices so far, below 1. The method is particularlyRandomized rounding (4,052 words) [view diff] exact match in snippet view article find links to article
turn so as to keep the conditional probability of failure below 1. To do this, we need a good bound on the conditional probability of failure. The boundDirichlet-multinomial distribution (6,431 words) [view diff] exact match in snippet view article find links to article
dependent children, the conditional probability of those dependent children appears in the definition of the parent's conditional probability. In this case, eachRuna Islam (891 words) [view diff] case mismatch in snippet view article find links to article
participated in the Venice Biennale. Islam's 2006 16mm film installation Conditional Probability was the result of a residency at North Westminster Community SchoolNorman H. Anderson (506 words) [view diff] case mismatch in snippet view article find links to article
University of Wisconsin, with a thesis on Effect of First-order Conditional Probability in a Two-choice Learning Situation. Anderson also taught at TheAlbert Uttley (244 words) [view diff] no match in snippet view article find links to article
Club and was the person who suggested its name. He was designing conditional-probability neural nets for pattern recognition for the British military. HeProbability of success (1,047 words) [view diff] exact match in snippet view article find links to article
calculated, predictive power is a random variable since it is a conditional probability conditioned on randomly observed data. Both conditional power andFalse positives and false negatives (1,167 words) [view diff] exact match in snippet view article find links to article
all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present.[citationRomano Scozzafava (1,021 words) [view diff] exact match in snippet view article find links to article
artificial intelligence, and fuzzy set theory in terms of coherent conditional probability. He has written six books and over 200 papers on these subjectsRelational dependency network (785 words) [view diff] exact match in snippet view article find links to article
where an RDN can learn the parameters independently, with the conditional probability distributions estimated separately. Since there may be some inconsistenciesCredibility theory (1,782 words) [view diff] exact match in snippet view article find links to article
heads, we must calculate the conditional probability that the chosen coin was heads-only as well as the conditional probability that the coin was fair, afterZero-truncated Poisson distribution (793 words) [view diff] exact match in snippet view article find links to article
Poisson distribution or the positive Poisson distribution. It is the conditional probability distribution of a Poisson-distributed random variable, given thatDependency network (graphical model) (1,496 words) [view diff] exact match in snippet view article
networks, DNs may contain cycles. Each node is associated to a conditional probability table, which determines the realization of the random variableAngular correlation function (117 words) [view diff] exact match in snippet view article find links to article
{dP}{d\Omega }}-1} , where P {\displaystyle P} represents the conditional probability of finding a galaxy, Ω {\displaystyle \Omega } denotes the solidPure inductive logic (4,186 words) [view diff] exact match in snippet view article find links to article
represent degrees of belief that should be held by a rational agent. Conditional probability values represent degrees of belief based on the assumption of someCommon value auction (2,114 words) [view diff] exact match in snippet view article find links to article
f(Y|X){\displaystyle f(Y|X)} is the conditional probability-density of Y given X. Since Y=X+C−A{\displaystyle Y=X+C-A}, the conditional probability-density of Y is:Bayes error rate (754 words) [view diff] exact match in snippet view article find links to article
is a class into which an instance is classified, P(Ck|x) is the conditional probability of label k for instance x, and L() is the 0–1 loss function: LSequential equilibrium (353 words) [view diff] exact match in snippet view article find links to article
positive probability given the strategies; the beliefs should be the conditional probability distribution on the nodes of the information set, given that itLinear probability model (809 words) [view diff] exact match in snippet view article find links to article
y∗>0{\displaystyle y^{*}>0}, and zero otherwise, and consider the conditional probability Pr(y=1∣x)=Pr(y∗>0∣x)=Pr(b0+x′b+ε>0∣x){\displaystyle {\rm {Pr}}(y=1\midT-distributed stochastic neighbor embedding (1,829 words) [view diff] exact match in snippet view article find links to article
{\displaystyle x_{j}} to datapoint x i {\displaystyle x_{i}} is the conditional probability, p j | i {\displaystyle p_{j|i}} , that x i {\displaystyle x_{i}}Three prisoners problem (2,048 words) [view diff] exact match in snippet view article find links to article
{\displaystyle p} as the conditional probability that the warden will name B given that C will be executed. The conditional probability P ( A | b ) {\displaystylePostBQP (3,635 words) [view diff] exact match in snippet view article find links to article
the three "inner" ones; the new algorithm will be correct with conditional probability ( 2 / 3 ) 3 + 3 ( 1 / 3 ) ( 2 / 3 ) 2 = 20 / 27 {\displaystyleFailure mode, effects, and criticality analysis (2,382 words) [view diff] exact match in snippet view article find links to article
assign failure mode ratio. The conditional probability number β {\displaystyle \beta } represents the conditional probability that the failure effect willRotational diffusion (3,629 words) [view diff] exact match in snippet view article find links to article
t){\displaystyle P(\theta +2\pi ,t)={P(\theta ,t)}} We can create a conditional probability density, which is the probability of finding the vector u at theChapman–Kolmogorov equation (637 words) [view diff] exact match in snippet view article find links to article
f_{1})\cdots p_{i_{n};i_{n-1}}(f_{n}\mid f_{n-1}),} where the conditional probability pi;j(fi∣fj){\displaystyle p_{i;j}(f_{i}\mid f_{j})} is the transitionBayesian knowledge tracing (714 words) [view diff] exact match in snippet view article find links to article
applies skill k{\displaystyle k} correctly or incorrectly, the conditional probability is computed by using equation (b) for correct application, or byRohit Jivanlal Parikh (1,044 words) [view diff] case mismatch in snippet view article find links to article
Mathematical Society 177 (1973) pages 29–36. (With M. Parnes) Conditional Probability can be Defined for Arbitrary Pairs of Sets of Reals, Advances inCorrelated equilibrium (1,237 words) [view diff] no match in snippet view article find links to article
recommended to play C, they know that the other player will play D with (conditional) probability 1/3 and C with probability 2/3, and gets expected payoff 14/3,Aumann's agreement theorem (1,131 words) [view diff] exact match in snippet view article find links to article
a {\displaystyle a} , denoted p a {\displaystyle p_{a}} is the conditional probability of p {\displaystyle p} given Π a {\displaystyle \Pi _{a}} . FixScaling pattern of occupancy (1,394 words) [view diff] exact match in snippet view article find links to article
q(a)+/+ is the conditional probability that a randomly chosen adjacent quadrat of an occupied quadrat is also occupied. The conditional probability q(a)0/+ = 1 − q(a)+/+List of paradoxes (7,840 words) [view diff] exact match in snippet view article find links to article
entry length on both books. Bertrand's box paradox: A paradox of conditional probability closely related to the Boy or Girl paradox. Bertrand's paradox:Averaged one-dependence estimators (695 words) [view diff] exact match in snippet view article find links to article
1. We seek to estimate P(y | x1, ... xn). By the definition of conditional probability P(y∣x1,…xn)=P(y,x1,…xn)P(x1,…xn).{\displaystyle P(y\mid x_{1},\ldotsInfinitism (1,084 words) [view diff] exact match in snippet view article find links to article
for p if (1) r has some sufficiently high probability and the conditional probability of p given r is sufficiently high; or (2) an impartial, informedPredictive probability of success (1,369 words) [view diff] exact match in snippet view article find links to article
be something else such as clinical meaningful results. PPOS is conditional probability conditioned on a random variable, therefore it is also a randomMaximum-entropy Markov model (989 words) [view diff] exact match in snippet view article find links to article
labels S1,…,Sn{\displaystyle S_{1},\dots ,S_{n}}that maximize the conditional probability P(S1,…,Sn∣O1,…,On){\displaystyle P(S_{1},\dots ,S_{n}\mid O_{1}Probabilistic latent semantic analysis (849 words) [view diff] exact match in snippet view article find links to article
the symmetric formulation above, this is done simply by adding conditional probability distributions for these additional variables. This is the probabilisticZakai equation (533 words) [view diff] exact match in snippet view article find links to article
{\displaystyle w,v} are independent Wiener processes. Then the unnormalized conditional probability density p ( x , t ) {\displaystyle p(x,t)} of the state at timeThomas M. Cover (428 words) [view diff] exact match in snippet view article find links to article
Van Campenhout, Jan. and Cover, T. (1981). Maximum entropy and conditional probability. Information Theory, IEEE Transactions on Cover, T. (1974). TheConditional quantum entropy (561 words) [view diff] exact match in snippet view article find links to article
S2CID 14834430. Cerf, N. J.; Adami, C. (1999-08-01). "Quantum extension of conditional probability". Physical Review A. 60 (2): 893–897. arXiv:quant-ph/9710001. Bibcode:1999PhRvAPolytomous Rasch model (2,660 words) [view diff] exact match in snippet view article find links to article
Rasch model for dichotomous data. Next, consider the following conditional probability in the case two thresholds: P n 1 Q n 2 Q n 1 Q n 2 + P n 1 Q nFisher's exact test (3,956 words) [view diff] exact match in snippet view article find links to article
conditional on having a + c {\textstyle a+c} class I balls, the conditional probability of having a table as shown is ( a + c a ) ( b + d b ) ( n a + bBayes Business School (967 words) [view diff] exact match in snippet view article find links to article
theologian and mathematician best known for his foundational work on conditional probability. The school teaches programmes including insurance and risk managementBertrand's box paradox (1,099 words) [view diff] exact match in snippet view article find links to article
P(GG)=P(SS)=P(GS)} ={\frac {1}{3}}\right)} . Therefore, by Bayes' rule the conditional probability that the chosen box is GG, given we have observed a gold coin,Sherrilyn Roush (395 words) [view diff] exact match in snippet view article find links to article
conditions—for example: if p were false, then S wouldn't believe p—using conditional probability instead of counterfactuals. Roush argues that the new trackingMonogamy of entanglement (1,008 words) [view diff] exact match in snippet view article find links to article
Pawłowski, Jan Martin (2006). "Quantum dynamics as an analog of conditional probability". Physical Review A. 74 (4): 042310. arXiv:quant-ph/0606022. Bibcode:2006PhRvAProbabilistic causation (1,070 words) [view diff] exact match in snippet view article find links to article
for an external intervention that compels the truth of C. The conditional probability Pr(E | C), in contrast, represents a probability resulting fromStatistical potential (2,860 words) [view diff] exact match in snippet view article find links to article
simulations. For example, P ( r ) {\displaystyle P(r)} could be the conditional probability of finding the C β {\displaystyle C\beta } atoms of a valine andAutomatic target recognition (1,352 words) [view diff] exact match in snippet view article find links to article
model (GMM). After a model is obtained using the data collected, conditional probability is formed for each target contained in the training database. InCausal model (6,129 words) [view diff] exact match in snippet view article find links to article
: 238 The calculus includes three rules for the transformation of conditional probability expressions involving the do operator. Rule 1 permits the additionForward algorithm (2,839 words) [view diff] exact match in snippet view article find links to article
_{x_{t}}p(x_{t},y_{1:t})=\sum _{x_{t}}\alpha (x_{t})} and the required conditional probability p ( x t | y 1 : t ) {\displaystyle p(x_{t}|y_{1:t})} as p ( x tBlackwell's informativeness theorem (1,463 words) [view diff] exact match in snippet view article find links to article
\sigma :\Omega \rightarrow \Delta S} is a function which gives the conditional probability σ ( s | ω ) {\displaystyle \sigma (s|\omega )} of observing signalMixed logit (1,583 words) [view diff] exact match in snippet view article find links to article
draw. 2. Calculate Ln(βr){\displaystyle L_{n}(\beta ^{r})}. (The conditional probability.) 3. Repeat many times, for r=2,...,R{\displaystyle r=2,...,R}Solovay–Strassen primality test (1,500 words) [view diff] exact match in snippet view article find links to article
same bound also applies to the related problem of what is the conditional probability of n being composite for a random number n ≤ x which has been declaredVariable elimination (901 words) [view diff] exact match in snippet view article find links to article
specifically, in Algorithm 2, ϕ {\displaystyle \phi } is the set C of conditional probability tables (henceforth "CPTs") for B, X {\displaystyle X} is a listConceptual clustering (1,521 words) [view diff] exact match in snippet view article find links to article
objects are nocturnal. The concept description is the category-conditional probability (likelihood) of the properties at the node. Thus, given that anCoin flipping (3,658 words) [view diff] exact match in snippet view article find links to article
land on a particular face.[citation needed] Human intuition about conditional probability is often very poor and can give rise to some seemingly surprisingRadial basis function network (4,945 words) [view diff] exact match in snippet view article find links to article
\mathbf {x} \right)} is the conditional probability of y given x {\displaystyle \mathbf {x} } . The conditional probability is related to the joint probabilityAsymptotic equipartition property (3,946 words) [view diff] exact match in snippet view article find links to article
{\displaystyle j(n,x):=p\left(x_{0}^{n-1}\right).} Parameterize the conditional probability by i, k and x as c ( i , k , x ) := p ( x i ∣ x i − k i − 1 )Reflected Brownian motion (1,569 words) [view diff] case mismatch in snippet view article find links to article
Wiley & Sons. ISBN 978-0471819394. Veestraeten, D. (2004). "The Conditional Probability Density Function for a Reflected Brownian Motion". ComputationalReflected Brownian motion (1,569 words) [view diff] case mismatch in snippet view article find links to article
Wiley & Sons. ISBN 978-0471819394. Veestraeten, D. (2004). "The Conditional Probability Density Function for a Reflected Brownian Motion". ComputationalNumbers season 1 (406 words) [view diff] exact match in snippet view article find links to article
object and its flight path. Mathematics used: Combinatorics and conditional probability distribution – "squish-squash" with Fourier analysis 13 13 "ManThe Product Space (2,583 words) [view diff] exact match in snippet view article find links to article
\Pr({\text{RCA}}_{i}\geq 1\mid {\text{RCA}}_{j}\geq 1)} is the conditional probability of exporting good i given that you export good j. By consideringBayes linear statistics (1,246 words) [view diff] exact match in snippet view article find links to article
only partially specified, and it is not possible to calculate conditional probability by Bayes' rule. Instead Bayes linear suggests the calculation ofIndependent and identically distributed random variables (2,625 words) [view diff] exact match in snippet view article find links to article
{green}{rgb}{0,0.5019607843137255,0}\color {Green}B} , which is called conditional probability, and only when the occurrence of A {\textstyle \color {red}A} hasOptimistic knowledge gradient (2,702 words) [view diff] exact match in snippet view article find links to article
just a single function which choose the larger one between the conditional probability of being positive and being negative. Once we get one more labelFirst-hitting-time model (2,716 words) [view diff] exact match in snippet view article find links to article
in the argument of the instantaneous probability refers to the conditional probability. The diffusion equation states that the rate of change over timeFred Dretske (1,902 words) [view diff] exact match in snippet view article find links to article
information: A signal r carries the information that s is F = The conditional probability of s's being F, given r (and k), is 1 (but, given k alone, lessRelay channel (835 words) [view diff] exact match in snippet view article find links to article
{\displaystyle X_{1},X_{2},Y_{1},} and Y {\displaystyle Y} , and a conditional probability distribution p ( y , y 1 | x 1 , x 2 ) {\displaystyle p(y,y_{1}|x_{1}Principle of restricted choice (1,906 words) [view diff] exact match in snippet view article find links to article
principle of restricted choice is an application of Bayes' theorem on conditional probability. In the following: Kp represents the condition that the King isInformation fluctuation complexity (3,433 words) [view diff] exact match in snippet view article find links to article
} Here p i → j {\textstyle p_{i\rightarrow j}} is the forward conditional probability that if the present state is i {\displaystyle i} then the nextKenny Easwaran (102 words) [view diff] case mismatch in snippet view article find links to article
Analytic Institutions Texas A&M University Thesis The Foundations of Conditional Probability (2008) Doctoral advisor Branden Fitelson Main interests EpistemologySayre's paradox (899 words) [view diff] exact match in snippet view article find links to article
present. In such a process, a given state is dependent only on the conditional probability of its following the state immediately before it. An example isMott problem (1,569 words) [view diff] exact match in snippet view article find links to article
f_{j_{1}j_{2}}(\mathbf {R} )} have the physical interpretation of conditional probability for the alpha particle near R {\displaystyle \mathbf {R} } , givenTotal correlation (1,437 words) [view diff] exact match in snippet view article find links to article
similarly defined as a Kullback-Leibler divergence between two conditional probability distributions, C ( X 1 , X 2 , … , X n | Y = y ) ≡ D K L [ pRule of succession (4,605 words) [view diff] exact match in snippet view article find links to article
conditionally independent given p. We can use Bayes' theorem to find the conditional probability distribution of p given the data Xi, i = 1, ..., n. For the "prior"Generalized least squares (2,833 words) [view diff] exact match in snippet view article find links to article
For given fit parameters b {\displaystyle \mathbf {b} } , the conditional probability density function of the errors are assumed to be p ( ε | b ) =Visual Turing Test (3,682 words) [view diff] exact match in snippet view article find links to article
the answer to the question q {\displaystyle q} . Then, find the conditional probability of getting the answer Xq to the question q given the history HContextual image classification (1,417 words) [view diff] exact match in snippet view article find links to article
pixels. The image is treated as a virtual line, and the method uses conditional probability. The Hilbert curve runs in a unique pattern through the whole imageProblem of time (2,051 words) [view diff] exact match in snippet view article find links to article
variables to quantum operators, one of them as a clock, and asking conditional probability questions with respect to other variables. They arrived at a solutionNicolas J. Cerf (486 words) [view diff] exact match in snippet view article find links to article
J.; Adami, C.; Gingrich, R. M. (1999). "Quantum extension of conditional probability". Physical Review A. 60 (2): 893–897. arXiv:quant-ph/9710001. Bibcode:1999PhRvAProbability density function (4,943 words) [view diff] case mismatch in snippet view article find links to article
16 March 2015. Grinstead, Charles M.; Snell, J. Laurie (2009). "Conditional Probability - Discrete Conditional" (PDF). Grinstead & Snell's IntroductionDecision-theoretic rough sets (1,280 words) [view diff] exact match in snippet view article find links to article
{\displaystyle \textstyle P(w_{j}\mid [x])} is calculated as the conditional probability of an object x {\displaystyle \textstyle x} being in state w jRam Samudrala (1,681 words) [view diff] exact match in snippet view article find links to article
194-198, 1999. Samudrala R, Moult J. An all-atom distance-dependent conditional probability discriminatory function for protein structure prediction. JournalNearest neighbour distribution (1,422 words) [view diff] exact match in snippet view article find links to article
{\displaystyle \textstyle P({N}(b(o,r))=1\mid o)} denotes the conditional probability that there is one point of N {\displaystyle \textstyle {N}} locatedProbabilistic forecasting (1,442 words) [view diff] exact match in snippet view article find links to article
ensemble predict a certain event, one could compute the actual conditional probability of the given event. In practice, forecasters try to guess a smallLaw of total cumulance (1,547 words) [view diff] exact match in snippet view article find links to article
probability p and Y = 0 with probability q = 1 − p. Suppose the conditional probability distribution of X given Y is F if Y = 1 and G if Y = 0. Then weProbabilistic forecasting (1,442 words) [view diff] exact match in snippet view article find links to article
ensemble predict a certain event, one could compute the actual conditional probability of the given event. In practice, forecasters try to guess a smallMoshe Zakai (1,321 words) [view diff] exact match in snippet view article find links to article
non-linear stochastic partial differential equation (SPDE) for the conditional probability density representing the optimal filter. Around 1967, Zakai derivedConditional dependence (1,014 words) [view diff] exact match in snippet view article find links to article
Probabilistic independence on Britannica "Probability->Applications of conditional probability->independence (equation 7) " Introduction to Artificial IntelligenceExponential family random graph models (3,553 words) [view diff] exact match in snippet view article find links to article
acceptance probability is to accept y ′ {\displaystyle y'} with the conditional probability P ( Y = y ′ | Y = y ′ ∨ Y = y ) = P ( Y = y ′ ) P ( Y = y ′ ) +Rényi entropy (3,442 words) [view diff] exact match in snippet view article find links to article
Kullback–Leibler divergence, is the only value at which the chain rule of conditional probability holds exactly: H ( A , X ) = H ( A ) + E a ∼ A [ H ( X | A = aMetropolis–Hastings algorithm (4,533 words) [view diff] exact match in snippet view article find links to article
distribution g ( x ′ ∣ x ) {\displaystyle g(x'\mid x)} is the conditional probability of proposing a state x ′ {\displaystyle x'} given x {\displaystyleKernel density estimation (4,568 words) [view diff] exact match in snippet view article find links to article
"Kde-gpu: We implemented nadaraya waston kernel density and kernel conditional probability estimator using cuda through cupy. It is much faster than cpu versionMarie desJardins (1,019 words) [view diff] exact match in snippet view article find links to article
networks: Combining abstraction hierarchies and tree-structured conditional probability tables". Computational Intelligence. 24 (1): 1–22. doi:10.1111/jEvidence (5,616 words) [view diff] exact match in snippet view article find links to article
words: a piece of evidence (E) confirms a hypothesis (H) if the conditional probability of this hypothesis relative to the evidence is higher than theLinear discriminant analysis (5,931 words) [view diff] exact match in snippet view article find links to article
{x}}} .: 338 LDA approaches the problem by assuming that the conditional probability density functions p ( x → | y = 0 ) {\displaystyle p({\vec {x}}|y=0)}Statistical proof (2,140 words) [view diff] exact match in snippet view article find links to article
\left(h_{2}\right)=\Pr \left(h_{1}orh_{2}\right){\bigg \}}}; The conditional probability of h1 given h2 {Pr(h1|h2)}{\displaystyle {\Bigg \{}\Pr(h_{1}|h_{2}){\BiggMean squared displacement (2,410 words) [view diff] exact match in snippet view article find links to article
in the argument of the instantaneous probability refers to the conditional probability. The diffusion equation states that the speed at which the probabilityAmplitude-shift keying (1,625 words) [view diff] exact match in snippet view article find links to article
where, for example, P e | H 0 {\displaystyle P_{e|H_{0}}} is the conditional probability of making an error given that a symbol v0 has been sent and P HNeural modeling fields (3,202 words) [view diff] exact match in snippet view article find links to article
probabilistic terminology. If learning is successful, l(n|m) becomes a conditional probability density function, a probabilistic measure that signal in neuronMatthew Brand (542 words) [view diff] case mismatch in snippet view article find links to article
retrieved December 2012 Matthew Brand (1999). "Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction". NeuralSeven states of randomness (1,683 words) [view diff] exact match in snippet view article find links to article
{\displaystyle p_{2}(x)=\int p(u)p(x-u)\,du} . When u is known, the conditional probability density of u′ is given by the portioning ratio: p ( u ′ ) p ( uSwendsen–Wang algorithm (2,337 words) [view diff] no match in snippet view article find links to article
is open). These values are assigned according to the following (conditional) probability distribution: P [ b n , m = 0 | σ n ≠ σ m ] = 1 {\displaystyleRadioisotope thermoelectric generator (6,999 words) [view diff] exact match in snippet view article find links to article
tables of safety analysis results, Table D-1 on page D-4, see conditional probability column for GPHS-RTG Physical, Nuclear, and Chemical, PropertiesRough set (8,043 words) [view diff] exact match in snippet view article find links to article
into the lower and upper approximations based on whether their conditional probability is above thresholds α {\displaystyle \textstyle \alpha } and βLester Dubins (1,466 words) [view diff] case mismatch in snippet view article find links to article
doi:10.2307/2372560. JSTOR 2372560. Dubins, Lester E. (1957). "Conditional Probability Distributions in the Wide Sense". Proceedings of the American MathematicalMultinomial distribution (5,944 words) [view diff] exact match in snippet view article find links to article
the counts Np^i{\displaystyle N{\hat {p}}_{i}} vanishes from the conditional probability to multinationally sample those counts. Notice that by definitionDe novo protein structure prediction (2,572 words) [view diff] exact match in snippet view article find links to article
Samudrala, R; Moult, J (1998). "An all-atom distance-dependent conditional probability discriminatory function for protein structure prediction". JournalInformation bottleneck method (3,456 words) [view diff] exact match in snippet view article find links to article
sample values themselves, while internal and output values are all conditional probability density distributions. Nonlinear functions are encapsulated inEnergy-based model (2,210 words) [view diff] exact match in snippet view article find links to article
observation is that such a classifier is trained to predict the conditional probability p θ ( y | x ) = e f → θ ( x ) [ y ] ∑ j = 1 K e f → θ ( x ) [ jDe Broglie–Bohm theory (16,633 words) [view diff] exact match in snippet view article find links to article
of ψ ( t , ⋅ ) {\displaystyle \psi (t,\cdot )} implies that the conditional probability density of Q I ( t ) {\displaystyle Q^{\text{I}}(t)} given Q IILink prediction (2,442 words) [view diff] exact match in snippet view article find links to article
regression model that can make use of relational features. Local conditional probability models based on attribute and structural features were proposedQuantum-optical spectroscopy (2,034 words) [view diff] exact match in snippet view article find links to article
same way, quantum-dot lasers may exhibit unusual changes in the conditional probability to emit a photon when already one photon is emitted; this effectLatent Dirichlet allocation (7,237 words) [view diff] exact match in snippet view article find links to article
{W}};\alpha ,\beta )} directly. The key point is to derive the following conditional probability: P ( Z ( m , n ) ∣ Z − ( m , n ) , W ; α , β ) = P ( Z ( m , nInfo-metrics (2,031 words) [view diff] exact match in snippet view article find links to article
Jan M. Van Campenhout Cover and Thomas M. "Maximum entropy and conditional probability". IEEE Transactions on Information Theory, IT-27, No. 4, 1981.Pólya urn model (2,979 words) [view diff] exact match in snippet view article find links to article
different trajectories that could have led to such an end-state. The conditional probability of each trajectory is the same: ( n n 1 , ⋯ , n k ) − 1 {\displaystyleAutomatic vectorization (2,862 words) [view diff] exact match in snippet view article find links to article
profitability of the inner vector branch for vPB depends on the conditional probability of vPB having false values in all fields given vPA has false valuesDempster–Shafer theory (4,962 words) [view diff] exact match in snippet view article find links to article
Bel(red)+Bel(green) does not have to equal Bel(red or green). Thus, Bayes' conditional probability can be considered as a special case of Dempster's rule of combinationRobert Haralick (2,317 words) [view diff] case mismatch in snippet view article find links to article
Using Radar Imagery for Crop Discrimination: A Statistical and Conditional Probability Study, with (F. Caspall and D.S. Simonett), Remote Sensing of EnvironmentBayesian inference in marketing (3,109 words) [view diff] exact match in snippet view article find links to article
equal to the prior probability of the hypothesis multiplied by the conditional probability of the evidence given the hypothesis, divided by the probabilityRobert D. Rupert (1,518 words) [view diff] case mismatch in snippet view article find links to article
Systems and the Extended Mind. In the latter, he introduces the Conditional Probability of Co-contribution account of cognitive systems, which specifiesDroughts in California (5,632 words) [view diff] exact match in snippet view article find links to article
analysis of multivariate data to the problem of determining the conditional probability of drought one or two years into the future, with the area of specialHilary Putnam (8,749 words) [view diff] case mismatch in snippet view article find links to article
JSTOR 186692. S2CID 120329154. Bub, Jeffrey (1982). "Quantum Logic, Conditional Probability, and Interference". Philosophy of Science. 49 (3): 402–421. doi:10Quantum Bayesianism (8,308 words) [view diff] exact match in snippet view article find links to article
{\displaystyle P(D_{j}\mid H_{i})} term may be understood to be a conditional probability in a cascaded measurement scenario: Imagine that an agent plansProbabilistic logic programming (1,198 words) [view diff] exact match in snippet view article find links to article
already for acyclic programs and atomic queries, computing the conditional probability of a query given a conjunction of atoms as evidence is #P-completeInfluence diagrams approach (1,572 words) [view diff] exact match in snippet view article find links to article
either success or failure of the task can be calculated by means of conditional probability calculations. Dependence between PSFs is explicitly acknowledgedReliability engineering (13,245 words) [view diff] exact match in snippet view article find links to article
specified as the failure rate (this is expressed as a frequency or conditional probability density function (PDF)) or the number of failures during a givenRelief (feature selection) (2,488 words) [view diff] exact match in snippet view article
of missing values to the feature weight is determined using the conditional probability that two values should be the same or different, approximated withKernel embedding of distributions (9,130 words) [view diff] exact match in snippet view article find links to article
conditional random fields may be drawn with the estimation of conditional probability distributions in this fashion, if one views the feature mappingsMosaic theory of the Fourth Amendment (3,894 words) [view diff] case mismatch in snippet view article find links to article
Guantánamo Habeas Cases as Lawmaking -- Chapter 8 – Mosaic Theory, Conditional Probability, and the Totality of the Evidence" (PDF). Brookings InstitutionJury theorem (4,709 words) [view diff] exact match in snippet view article find links to article
or more than 11). This changes the conditions, and hence, the conditional probability. Moreover, if the state is very specific, then the probabilityTopological data analysis (11,259 words) [view diff] exact match in snippet view article find links to article
\mathrm {d} \gamma (x,y)\right)^{1/p}} . Expectation, variance, and conditional probability can be defined in the Fréchet sense. This allows many statisticalIBM alignment models (3,100 words) [view diff] exact match in snippet view article find links to article
in a log linear way The IBM alignment models translation as a conditional probability model. For each source-language ("foreign") sentence f{\displaystyleStatistical learning in language acquisition (5,923 words) [view diff] case mismatch in snippet view article find links to article
R. N.; Saffran, J. R.; Newport, E. L. (1998). "Computation of Conditional Probability Statistics by 8-Month-Old Infants". Psychological Science. 9 (4):Stochastic dynamic programming (5,371 words) [view diff] exact match in snippet view article find links to article
t , x t ) {\displaystyle \Pr(s_{t+1}\mid s_{t},x_{t})} is the conditional probability that the state at the end of stage t {\displaystyle t} is s t +Local average treatment effect (5,379 words) [view diff] exact match in snippet view article find links to article
treatment effect within their strata. ICSW first estimates the conditional probability of being a complier (Compliance Score) for each subject by MaximumDrift plus penalty (6,906 words) [view diff] exact match in snippet view article find links to article
possible random event ω∈Ω{\displaystyle \omega \in \Omega }, a conditional probability distribution for selecting a control action α(t)∈A{\displaystyleDiscrete Universal Denoiser (4,987 words) [view diff] exact match in snippet view article find links to article
{\displaystyle \mathbb {P} \left(X_{i}=x|Z^{n}=z^{n}\right)} . The conditional probability vector P X i | z n {\displaystyle \mathbf {P} _{X_{i}|z^{n}}} isAncestral reconstruction (13,021 words) [view diff] exact match in snippet view article find links to article
of certain classes of event; and Bayeisan inference relates the conditional probability of an event to the likelihood of the tree, as well as the amountWord n-gram language model (2,650 words) [view diff] exact match in snippet view article find links to article
P(w_{i}\mid w_{i-(n-1)},\ldots ,w_{i-1})=P(w_{2}\mid w_{1})} . The conditional probability can be calculated from n-gram model frequency counts: P ( w i ∣