کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
141948 162950 2009 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Does Cognitive Science Need Kernels?
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Does Cognitive Science Need Kernels?
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 13, Issue 9, September 2009, Pages 381–388
نویسندگان
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