Instance-Based Learning Algorithms
Machine Learning
Neural networks and the bias/variance dilemma
Neural Computation
Machine learning, neural and statistical classification
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Mixture models of categorization
Journal of Mathematical Psychology
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics
The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics
Multiple-prototype classifier design
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Instance-based classifiers to discover the gradient of typicality in data
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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In the present paper we discuss some aspects of the development of categorization theories concerning cognitive psychology and machine learning. We consider the thirty-year debate between prototype-theory and exemplar-theory in the studies of cognitive psychology regarding the categorization processes. We propose this debate is ill-posed, because it neglects some theoretical and empirical results of machine learning about the bias-variance theorem and the existence of some instance-based classifiers which can embed models subsuming both prototype and exemplar theories. Moreover this debate lies on a epistemological error of pursuing a, so called, experimentum crucis . Then we present how an interdisciplinary approach, based on synthetic method for cognitive modelling, can be useful to progress both the fields of cognitive psychology and machine learning.