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Hebbian learning is increasingly being linked to cognitive processes like decision-making and social learning. Cognitive neuroscience has started to explore the intersection of Hebbian theory with brain regions responsible for reward processing and social cognition, such as the striatum and prefrontal cortex.
The perceptron learning rule originates from the Hebbian assumption, and was used by Frank Rosenblatt in his perceptron in 1958. The net is passed to the activation function and the function's output is used for adjusting the weights. The learning signal is the difference between the desired response and the actual response of a neuron.
Rule-based theories of concept learning began with cognitive psychology and early computer models of learning that might be implemented in a high level computer language with computational statements such as if:then production rules. They take classification data and a rule-based theory as input which are the result of a rule-based learner with ...
Sometimes this strategy is called the / stopping rule, because the probability of stopping at the best applicant with this strategy is already about / for moderate values of . One reason why the secretary problem has received so much attention is that the optimal policy for the problem (the stopping rule) is simple and selects the single best ...
Learning theory (education) – Theory that describes how students receive, process, and retain knowledge during learning Constructivism (philosophy of education) – Theory of knowledge; Radical behaviorism – Term pioneered by B.F. Skinner; Instructional design – Process for design and development of learning resources
The IF - THEN form of fuzzy rules make this approach suitable for expressing the results in a form close to natural language. Extending FRL with Fuzzy Rule Interpolation [54] allows the use of reduced size sparse fuzzy rule-bases to emphasize cardinal rules (most important state-action values).
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Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. [ 1 ]