Gaussian kernel optimization for pattern classification
نویسندگان
چکیده
منابع مشابه
Gaussian kernel optimization for pattern classification
This paper presents a novel algorithm to optimize the Gaussian kernel for pattern classification tasks, where it is desirable to have well-separated samples in the kernel feature space. We propose to optimize the Gaussian kernel parameters by maximizing a classical class separability criterion, and the problem is solved through a quasi-Newton algorithm by making use of a recently proposed decom...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2009
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2008.11.024