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Перевод и анализ слов искусственным интеллектом ChatGPT
На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:
- как употребляется слово
- частота употребления
- используется оно чаще в устной или письменной речи
- варианты перевода слова
- примеры употребления (несколько фраз с переводом)
- этимология
Что (кто) такое joy unmingled with regret - определение
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
Regret (decision theory)
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)
In decision theory, on making decisions under uncertainty—should information about the best course of action arrive after taking a fixed decision—the human emotional response of regret is often experienced, and can be measured as the value of difference between a made decision and the optimal decision.
Joy Packer
SOUTH AFRICAN WRITER
Joy Petersen; Joy Petersen Packer
Joy Petersen Packer (12 February 1905 – 7 September 1977) was a South African author of autobiography and romantic adventure novels.
Hélène Joy
CANADIAN ACTRESS
Helene Joy
Hélène Joy is an Australian-born Canadian actress. She is best known for her work in television series Durham County and Murdoch Mysteries.
Википедия
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.
