- optimal decision function
- оптимальная решающая функция
Большой англо-русский и русско-английский словарь. 2001.
optimal decision function
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decision theory — Statistics. the theory of making decisions based on assigning probabilities to various factors and assigning numerical consequences to the outcome. [1960 65] * * * In statistics and related subfields of philosophy, the theory and method of… … Universalium
Decision theory — in economics, psychology, philosophy, mathematics, and statistics is concerned with identifying the values, uncertainties and other issues relevant in a given decision, its rationality, and the resulting optimal decision. It is closely related to … Wikipedia
Decision making — For Decision making in groups, see Group decision making. Sample flowchart representing the decision process to add a new article to Wikipedia. Decision making can be regarded as the mental processes (cognitive process) resulting in the selection … Wikipedia
Optimal discriminant analysis — (ODA) and the related classification tree analysis (CTA) are statistical methods that maximize predictive accuracy. For any specific sample and exploratory or confirmatory hypothesis, optimal discriminant analysis (ODA) identifies the statistical … Wikipedia
Optimal design — This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements … Wikipedia
Markov decision process — Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for… … Wikipedia
Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… … Wikipedia
Loss function — In statistics and decision theory a loss function is a function that maps an event onto a real number intuitively representing some cost associated with the event. Typically it is used for parameter estimation, and the event in question is some… … Wikipedia
Partially observable Markov decision process — A Partially Observable Markov Decision Process (POMDP) is a generalization of a Markov Decision Process. A POMDP models an agent decision process in which it is assumed that the system dynamics are determined by an MDP, but the agent cannot… … Wikipedia
Multi-criteria decision analysis — Multiple criteria decision making or multiple criteria decision analysis is a sub discipline of operations research that explicitly considers multiple criteria in decision making environments. Whether in our daily lives or in professional… … Wikipedia
Binary decision diagram — In the field of computer science, a binary decision diagram (BDD) or branching program, like a negation normal form (NNF) or a propositional directed acyclic graph (PDAG), is a data structure that is used to represent a Boolean function. On a… … Wikipedia
