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searching for Log probability 16 found (29 total)

Stan (software) (901 words) [view diff] exact match in snippet view article

(Bayesian) statistical model with an imperative program calculating the log probability density function. Stan is licensed under the New BSD License. Stan

Gibbs algorithm (251 words) [view diff] exact match in snippet view article find links to article

of microstates of a thermodynamic system by minimizing the average log probability ⟨ ln ⁡ p i ⟩ = ∑ i p i ln ⁡ p i {\displaystyle \langle \ln p_{i}\rangle

Word2vec (3,928 words) [view diff] no match in snippet view article find links to article

_{i\in C}\log(\Pr(w_{i}|w_{j}:j\in N+i))} That is, we maximize the log-probability of the corpus. Our probability model is as follows: Given words { w

Generalized least squares (2,846 words) [view diff] no match in snippet view article find links to article

does not depend on b {\displaystyle \mathbf {b} } . Therefore the log-probability is log ⁡ p ( b | ε ) = log ⁡ p ( ε | b ) + ⋯ = − 1 2 ε T Ω − 1 ε +

CYK algorithm (2,189 words) [view diff] no match in snippet view article find links to article

multiplying many probabilities together. This can be dealt with by summing log-probability instead of multiplying probabilities. The worst case running time of

Boltzmann machine (3,676 words) [view diff] exact match in snippet view article find links to article

distribution that the energy of a state is proportional to the negative log probability of that state) yields: Δ E i = − k B T ln ⁡ ( p i=off ) − ( − k B T

Protein–protein interaction prediction (2,915 words) [view diff] no match in snippet view article find links to article

E-score which measures if two domains interact. It is calculated as log(probability that the two proteins interact given that the domains interact/probability

Chinese restaurant process (3,990 words) [view diff] exact match in snippet view article find links to article

to zero as it should. (Practical implementations that evaluate the log probability for partitions via log ⁡ L | B | _ = log ⁡ | Γ ( L + 1 ) | − log ⁡

Power law (8,193 words) [view diff] exact match in snippet view article find links to article

methods are often based on making a linear regression on either the log–log probability, the log–log cumulative distribution function, or on log-binned data

Information content (4,445 words) [view diff] no match in snippet view article find links to article

(a highly improbable outcome is very surprising). This term (as a log-probability measure) was introduced by Edward W. Samson in his 1951 report "Fundamental

Grand canonical ensemble (5,285 words) [view diff] no match in snippet view article find links to article

parameters (fixed V), the grand canonical ensemble average of the log-probability − ⟨ log ⁡ P ⟩ {\displaystyle -\langle \log P\rangle } (also called

Rejection sampling (4,455 words) [view diff] no match in snippet view article find links to article

If it helps, define your envelope distribution in log space (e.g. log-probability or log-density) instead. That is, work with h ( x ) = log ⁡ g ( x )

Regularized least squares (4,894 words) [view diff] no match in snippet view article find links to article

observe that a normal prior on w {\displaystyle w} centered at 0 has a log-probability of the form log ⁡ P ( w ) = q − α ∑ j = 1 d w j 2 {\displaystyle \log

Directional component analysis (1,912 words) [view diff] exact match in snippet view article find links to article

matrix C {\displaystyle C} . As a function of x {\displaystyle x} , the log probability density is proportional to − x t C − 1 x {\displaystyle -x^{t}C^{-1}x}

Ising model (20,177 words) [view diff] no match in snippet view article find links to article

in H. For any value of the slowly varying field H, the free energy (log-probability) is a local analytic function of H and its gradients. The free energy

Free energy principle (6,424 words) [view diff] exact match in snippet view article find links to article

systems minimise a quantity known as surprisal (which is the negative log probability of some outcome); or equivalently, its variational upper bound, called