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The future of associative learning

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network.
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Bayesian associative learning

Trends in Cognitive Sciences, 2006
The Bayesian approach to belief updating is par excellence a theory of learning--a theory of how beliefs should be revised in the light of new evidence. Yet despite its considerable utility as a framework for understanding cognition, it has not been prominent in theorizing about elementary learning processes in animals and humans.
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Associative Learning and Active Inference

Neural Computation
Abstract Associative learning is a behavioral phenomenon in which individuals develop connections between stimuli or events based on their co-occurrence. Initially studied by Pavlov in his conditioning experiments, the fundamental principles of learning have been expanded on through the discovery of a wide range of learning phenomena ...
Petr Anokhin   +3 more
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Associative learning

2002
Abstract The notion of ‘association’ is central to both the philosophical and the experimental study of the mind. In philosophy it can be traced back to Aristotle, who proposed that similarity, contrast, and contiguity of images sub serve recollection (On memory; Sorabji 1972).
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Repetition and Associative Learning

The American Journal of Psychology, 1960
L L, CLARK   +2 more
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Machine learning for microbiologists

Nature Reviews Microbiology, 2023
Andrew Maltez Thomas   +2 more
exaly  

A Comprehensive Survey on Transfer Learning

Proceedings of the IEEE, 2021
Dongbo Xi, Fuzhen Zhuang, Zhiyuan Qi
exaly  

Association and discrimination in paired-associates learning.

Journal of Experimental Psychology, 1965
M C, POLSON, F, RESTLE, P G, POLSON
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Generalizing from a Few Examples

ACM Computing Surveys, 2021
Yao Quanming   +2 more
exaly  

Learning by association

2019
Richard Bennett, Joseph E. Oliver
openaire   +1 more source

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