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  2. Robbins Report - Wikipedia

    en.wikipedia.org/wiki/Robbins_Report

    The Robbins Report (the report of the Committee on Higher Education, chaired by Lord Robbins) was commissioned by the British government and published in 1963. [1] The committee met from 1961 to 1963. After the report's publication, its conclusions were accepted by the government on 24 October 1963. The report recommended immediate expansion of ...

  3. Stochastic gradient descent - Wikipedia

    en.wikipedia.org/wiki/Stochastic_gradient_descent

    Stochastic gradient descent is a popular algorithm for training a wide range of models in machine learning, including (linear) support vector machines, logistic regression (see, e.g., Vowpal Wabbit) and graphical models. [21] When combined with the back propagation algorithm, it is the de facto standard algorithm for training artificial neural ...

  4. Neuro-linguistic programming - Wikipedia

    en.wikipedia.org/wiki/Neuro-linguistic_programming

    t. e. Neuro-linguistic programming ( NLP) is a pseudoscientific approach to communication, personal development and psychotherapy, that first appeared in Richard Bandler and John Grinder 's 1975 book The Structure of Magic I. NLP asserts that there is a connection between neurological processes, language and acquired behavioral patterns, and ...

  5. The Cambridge Neuropsychological Test Automated Battery ( CANTAB ), [1] originally developed at the University of Cambridge in the 1980s but now provided in a commercial capacity by Cambridge Cognition, is a computer-based cognitive assessment system consisting of a battery of neuropsychological tests, administered to subjects using a touch ...

  6. Stochastic approximation - Wikipedia

    en.wikipedia.org/wiki/Stochastic_approximation

    Stochastic approximation methods are a family of iterative methods typically used for root-finding problems or for optimization problems. The recursive update rules of stochastic approximation methods can be used, among other things, for solving linear systems when the collected data is corrupted by noise, or for approximating extreme values of functions which cannot be computed directly, but ...

  7. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network. In neuroscience, a biological neural ...

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