An introduction to kernel-based learning algorithms
نویسندگان
چکیده
منابع مشابه
An introduction to kernel-based learning algorithms
This paper provides an introduction to support vector machines, kernel Fisher discriminant analysis, and kernel principal component analysis, as examples for successful kernel-based learning methods. We first give a short background about Vapnik-Chervonenkis theory and kernel feature spaces and then proceed to kernel based learning in supervised and unsupervised scenarios including practical an...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 2001
ISSN: 1045-9227
DOI: 10.1109/72.914517