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conditional inference

См. также в других словарях:

  • 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

  • Conditional independence — These are two examples illustrating conditional independence. Each cell represents a possible outcome. The events R, B and Y are represented by the areas shaded red, blue and yellow respectively. And the probabilities of these events are shaded… …   Wikipedia

  • Conditional probability — The actual probability of an event A may in many circumstances differ from its original probability, because new information is available, in particular the information that an other event B has occurred. Intuition prescribes that the still… …   Wikipedia

  • Constrained Conditional Models — A Constrained Conditional Model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to… …   Wikipedia

  • Counterfactual conditional — For other uses, see Counterfactual (disambiguation). A counterfactual conditional, subjunctive conditional, or remote conditional, abbreviated cf, is a conditional (or if then ) statement indicating what would be the case if its antecedent were… …   Wikipedia

  • Bayesian inference — is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name Bayesian comes from the frequent use of Bayes theorem in the inference process. Bayes theorem… …   Wikipedia

  • Biological network inference — Many types of biological networks exist. Few such networks are known in anything approaching their complete structure, even in the simplest bacteria. Still less is known on the parameters governing the behavior of such networks over time, how the …   Wikipedia

  • List of rules of inference — This is a list of rules of inference, logical laws that relate to mathematical formulae.IntroductionRules of inference are syntactical transformation rules which one can use to infer a conclusion from a premise to create an argument. A set of… …   Wikipedia

  • Fiducial inference — was a form of statistical inference put forward by R A Fisher in an attempt to perform inverse probability without prior probability distributions.A fiducial interval may be used instead of a confidence interval or a Bayesian credible interval in …   Wikipedia

  • Marginal conditional stochastic dominance — In finance, marginal conditional stochastic dominance is a condition under which a portfolio can be improved in the eyes of all risk averse investors by incrementally moving funds out of one asset (or one sub group of the portfolio s assets) and… …   Wikipedia

  • Cauchy distribution — Not to be confused with Lorenz curve. Cauchy–Lorentz Probability density function The purple curve is the standard Cauchy distribution Cumulative distribution function …   Wikipedia

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