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  2. William Kaye Estes - Wikipedia

    en.wikipedia.org/wiki/William_Kaye_Estes

    One of Estes' most famous contributions to learning theory was stimulus-sampling theory, which conceives of learning as establishing associations to hypothetical stimulus elements that are randomly drawn from a pool of elements that characterize a particular learning situation. This theory predicted probability matching, which has been found in ...

  3. Distribution learning theory - Wikipedia

    en.wikipedia.org/wiki/Distribution_learning_theory

    The distributional learning theory or learning of probability distribution is a framework in computational learning theory. It has been proposed from Michael Kearns , Yishay Mansour , Dana Ron , Ronitt Rubinfeld , Robert Schapire and Linda Sellie in 1994 [ 1 ] and it was inspired from the PAC-framework introduced by Leslie Valiant .

  4. Psychology of learning - Wikipedia

    en.wikipedia.org/wiki/Psychology_of_learning

    The psychology of learning refers to theories and research on how individuals learn. There are many theories of learning. Some take on a more behaviorist approach which focuses on inputs and reinforcements. [1] [2] [3] Other approaches, such as neuroscience and social cognition, focus more on how the brain's organization and structure influence ...

  5. Edwin Ray Guthrie - Wikipedia

    en.wikipedia.org/wiki/Edwin_Ray_Guthrie

    Edwin Ray Guthrie (/ ˈ ɡ ʌ θ r i /; January 9, 1886 – April 23, 1959), a behavioral psychologist, began his career in mathematics and philosophy in 1917. He spent most of his career at the University of Washington, where he was a full-time professor and later became an emeritus professor in psychology.

  6. Bayesian probability - Wikipedia

    en.wikipedia.org/wiki/Bayesian_probability

    Bayesian probability (/ ˈ b eɪ z i ə n / BAY-zee-ən or / ˈ b eɪ ʒ ən / BAY-zhən) [1] is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation [2] representing a state of knowledge [3] or as quantification of a personal belief.

  7. Statistical learning theory - Wikipedia

    en.wikipedia.org/wiki/Statistical_learning_theory

    Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [ 1 ] [ 2 ] [ 3 ] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data.

  8. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations , probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms .

  9. Egon Brunswik - Wikipedia

    en.wikipedia.org/wiki/Egon_Brunswik

    Egon Brunswik Edler von Korompa (18 March 1903, Budapest – 7 July 1955, Berkeley, California) was a psychologist who is known for his theory of probabilisitic functionalism and his proposition that representative design is essential in psychological research.