concept of learning

concept of learning

Bruner, Goodnow, and Austin ( 1956 ) published their book A Study of Thinking, which became a landmark in psychology and would later have a major impact on machine learning. The experiments reported by Bruner, Goodnow, and Austin were directed toward understanding a human’s ability to categorize and how categories are learned.
The term concept learning is originated in psychology, where it refers to the human ability to learn categories for object and to recognize new instances of those categories. In machine learning, concept is more formally defined as “inferring a boolean-valued function from training examples of its inputs and outputs” (Mitchell, 1997 ).

concept learning A major topic in machine learning that addresses the problem of classifying a series of data instances as equivalent on the basis of some given properties. The idea is to locate clusters within sets of data, using methods of induction, so that the clusters define and distinguish salient features within the data. The clusters represent “concepts” and their descriptions define a class of data that fits a particular conceptual cluster.
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2 Institute of Psychology University of Aarhus Asylvej 4 DK‐8240 Risskov DenmarkSearch for more papers by this author
2 Institute of Psychology University of Aarhus Asylvej 4 DK‐8240 Risskov DenmarkSearch for more papers by this author

References:

http://www.encyclopedia.com/computing/dictionaries-thesauruses-pictures-and-press-releases/concept-learning
http://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-9450.1974.tb00591.x
http://ocw.metu.edu.tr/pluginfile.php/8931/mod_resource/content/1/7su.pdf

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