asymptotic learning
1Reinforcement learning — Inspired by related psychological theory, in computer science, reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long term reward .… …
2Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …
3Czesław Olech — Born May 22, 1931 (1931 05 22) (age 80) Pińczów, Poland Nationality Polish …
4List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …
5Noisy-channel coding theorem — In information theory, the noisy channel coding theorem (sometimes Shannon s theorem), establishes that for any given degree of noise contamination of a communication channel, it is possible to communicate discrete data (digital information)… …
6Коул, Майкл (психолог) — Майкл Д. Коул (англ. Michael D. Cole) (13 апреля 1938)  американский профессор коммуникации и психологии Калифорнийского университета в Сан Диего (UCSD) (с 1978 года), основатель и директор лаборатории сравнительного человеческого… …
7Nobel Prizes — ▪ 2009 Introduction Prize for Peace The 2008 Nobel Prize for Peace was awarded to Martti Ahtisaari, former president (1994–2000) of Finland, for his work over more than 30 years in settling international disputes, many involving ethnic,… …
8Classical conditioning — This dog was fitted with a cannula to measure the amount of salivation when presented with a certain stimulus, Pavlov Museum, 2005 Classical conditioning (also Pavlovian or respondent conditioning, Pavlovian reinforcement) is a form of… …
9Micromechanics — (or, more precisely, micromechanics of materials) is the analysis of composite or heterogeneous materials on the level of the individual constituents that constitute these materials. Contents 1 Aims of micromechanics of materials 2 Analytical… …
10Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… …
