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Does Cognitive Science Need Kernels

Jäkel, F. and Schölkopf, B. and Wichmann, F. A. :
Does Cognitive Science Need Kernels.
[Online-Edition: https://doi.org/10.1016/j.tics.2009.06.002]
In: Trends in Cognitive Sciences, 13 pp. 381-388.
[Article] , (2009)

Official URL: https://doi.org/10.1016/j.tics.2009.06.002

Abstract

Kernel methods are among the most successful tools in machine learning and are used in challenging data analysis problems in many disciplines. Here we provide examples where kernel methods have proven to be powerful tools for analyzing behavioral data, especially for identifying features in categorization experiments. We also demonstrate that kernel methods relate to perceptrons and exemplar models of categorization. Hence, we argue that kernel methods have neural and psychological plausibility, and theoretical results concerning their behavior are therefore potentially relevant for human category learning. In particular, we believe kernel methods have the potential to provide explanations ranging from the implementational via the algorithmic to the computational level.

Item Type: Article
Erschienen: 2009
Creators: Jäkel, F. and Schölkopf, B. and Wichmann, F. A.
Title: Does Cognitive Science Need Kernels
Language: English
Abstract:

Kernel methods are among the most successful tools in machine learning and are used in challenging data analysis problems in many disciplines. Here we provide examples where kernel methods have proven to be powerful tools for analyzing behavioral data, especially for identifying features in categorization experiments. We also demonstrate that kernel methods relate to perceptrons and exemplar models of categorization. Hence, we argue that kernel methods have neural and psychological plausibility, and theoretical results concerning their behavior are therefore potentially relevant for human category learning. In particular, we believe kernel methods have the potential to provide explanations ranging from the implementational via the algorithmic to the computational level.

Journal or Publication Title: Trends in Cognitive Sciences
Volume: 13
Divisions: 03 Department Human Sciences
03 Department Human Sciences > Institute for Psychology
03 Department Human Sciences > Institute for Psychology > Models of Higher Cognition
Date Deposited: 09 Jul 2018 09:16
DOI: 10.1016/j.tics.2009.06.002
Official URL: https://doi.org/10.1016/j.tics.2009.06.002
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