Perceptual estimation obeys Occam's razor
Theoretical models of unsupervised category learning postulate that humans “invent” categories to accommodate new patterns, but tend to group stimuli into a small number of categories. This “Occam's razor” principle is motivated by normative rules of statistical inference. If categories influen...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Frontiers Research Foundation
2013
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| Online Access: | http://hdl.handle.net/1721.1/82931 |