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Models of Incremental Concept Formation
Abstract
Given a set of observations, humans acquire concepts that organize those observations and use them in classifying future experiences.This type of concept formation can occur in the absence of a tutor and it can take place despite irrelevant and incomplete information.A reasonable model of such human concept learning should be both incremental and capable of handling the type of complex experiences that people encounter in the real world.In this paper, we review three previous models of incremental concept formation and then present CLASSIT, a model that extends these earlier systems.All of the models integrate the process of recognition and learning, and all can be viewed as carrying out search through the space of possible concept hierarchies.In an attempt to show that CLASSIT is a robust concept formation system, we also present some empirical studies of its behavior under a variety of conditions.,,
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Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Rosch, E. (1988) · Readings in Cognitive Science · doi:10.1016/b978-1-4832-1446-7.50028-5 · Cited by 946
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Data Mining: Practical Machine Learning Tools and Techniques
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The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
(1998) · Cited by 3,476
Irrelevant Features and the Subset Selection Problem
John, G. H., Kohavi, R., & Pfleger, K. (1994) · Machine Learning Proceedings 1994 · doi:10.1016/b978-1-55860-335-6.50023-4 · Cited by 2,368
Chunking mechanisms in human learning
GOBET, F., LANE, P., CROKER, S., CHENG, P., JONES, G., OLIVER, I., & PINE, J. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01662-4 · Cited by 1,157
Metadata
- Authors
- Gennari, J. H., Langley, P., & Fisher, D.
- Publisher
- Defense Technical Information Center
- Published
- 1988-02-01
- OpenAlex
- W2988864014
- Cited by
- 525
- References
- 2
- Type
- report
- Language
- en
- Open access
- closed
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