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minimax regret - translation to russian
EXPECTED DIFFERENCE BETWEEN THE UTILITY OF A BAYESIAN STRATEGY AND THAT OF THE OPTIMAL STRATEGY
User:Abd/Bayesian regret; User:Silver seren/Bayesian regret; Draft:Bayesian regret
minimax regret
ECONOMICS MODEL WHICH INCLUDES A REGRET TERM IN THE UTILITY FUNCTION (DEPENDING NEGATIVELY ON THE REALIZED OUTCOME AND POSITIVELY ON THE BEST ALTERNATIVE OUTCOME GIVEN THE UNCERTAINTY), VIOLATING TRANSITIVITY
Minimax regret; Investor's regret; Regret (game theory)
математика
минимаксные потери
minimax test
![An animated pedagogical example that attempts to be human-friendly by substituting initial infinite (or arbitrarily large) values for emptiness and by avoiding using the [[negamax]] coding simplifications.](https://commons.wikimedia.org/wiki/Special:FilePath/Plminmax.gif?width=200 "An animated pedagogical example that attempts to be human-friendly by substituting initial infinite (or arbitrarily large) values for emptiness and by avoiding using the [[negamax]] coding simplifications.")
DECISION RULE USED IN ARTIFICIAL INTELLIGENCE, DECISION THEORY, GAME THEORY, STATISTICS AND PHILOSOPHY FOR MINIMIZING THE POSSIBLE LOSS FOR A WORST CASE (MAXIMUM LOSS) SCENARIO
Minimax algorithm; Minimax test; Maximin principle; Maximin criterion; Minmax; Maximin (decision theory); Bottleneck programming; Minimax strategy; Game value; Maximin (philosophy); Minimax principle; Maxmin; MiniMax; Minimax Strategy; Minimax solution; Minmax algorithm; Maximin Principle
математика
минимаксный критерий
minimax theorem
THEOREM PROVIDING CONDITIONS THAT GUARANTEE THAT THE MAX–MIN INEQUALITY IS ALSO AN EQUALITY
Von Neumman's minimax theorem
т. игр теорема о минимаксе
Definition
regret
I
n.
1) to express regret(s)
2) to feel; show regret
3) deep, keen regret
4) a token of (one's) regret
5) regret at, over; for (to express regret at not being able to accept an invitation; regret for one's mistake)
II
v.
1) to regret deeply, very much
2) (formal) (E) we regret to inform you that your position has been eliminated
3) (G) I regret having to leave so early
4) (K) everyone regretted his being dismissed
5) (L) we regret that we cannot accept your invitation
Wikipedia
Bayesian regret
In stochastic game theory, Bayesian regret is the expected difference ("regret") between the utility of a Bayesian strategy and that of the optimal strategy (the one with the highest expected payoff).
The term Bayesian refers to Thomas Bayes (1702–1761), who proved a special case of what is now called Bayes' theorem, who provided the first mathematical treatment of a non-trivial problem of statistical data analysis using what is now known as Bayesian inference.
