- method of conditional probabilities
- метод условных вероятностей
The English-Russian dictionary on reliability and quality control. 2015.
method of conditional probabilities
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Method of conditional probabilities — In mathematics and computer science, the probabilistic method is used to prove the existence of mathematical objects with desired combinatorial properties. The proofs are probabilistic they work by showing that a random object, chosen from some… … Wikipedia
Conditional random field — A conditional random field (CRF) is a statistical modelling method often applied in pattern recognition. More specifically it is a type of discriminative undirected probabilistic graphical model. It is used to encode known relationships between… … Wikipedia
Information bottleneck method — The information bottleneck method is a technique introduced by Tishby et al [1] for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability… … Wikipedia
Chou-Fasman method — The Chou Fasman method are an empirical technique for the prediction of secondary structures in proteins, originally developed in the 1970s. Chou PY, Fasman GD. (1974). Prediction of protein conformation. Biochemistry. 13(2):222 45.] Chou PY,… … Wikipedia
Chou–Fasman method — The Chou–Fasman method are an empirical technique for the prediction of secondary structures in proteins, originally developed in the 1970s.[1][2][3] The method is based on analyses of the relative frequencies of each amino acid in alpha helices … Wikipedia
Empirical Bayes method — In statistics, empirical Bayes methods are a class of methods which use empirical data to evaluate / approximate the conditional probability distributions that arise from Bayes theorem. These methods allow one to estimate quantities… … Wikipedia
GOR method — The GOR method (Garnier Osguthorpe Robson) is an information theory based method for the prediction of secondary structures in proteins.Garnier J, Gibrat JF, Robson B. (1996). GOR method for predicting protein secondary structure from amino acid… … Wikipedia
Randomized algorithm — Part of a series on Probabilistic data structures Bloom filter · Skip list … Wikipedia
Linear programming relaxation — In mathematics, the linear programming relaxation of a 0 1 integer program is the problem that arises by replacing the constraint that each variable must be 0 or 1 by a weaker constraint, that each variable belong to the interval [0,1] .That is,… … Wikipedia
Maximum cut — A maximum cut. For a graph, a maximum cut is a cut whose size is at least the size of any other cut. The problem of finding a maximum cut in a graph is known as the max cut problem. The problem can be stated simply as follows. One wants a subset… … Wikipedia
Odds ratio — The odds ratio [1][2][3] is a measure of effect size, describing the strength of association or non independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike… … Wikipedia
