titanium
于 2010-04-22 发布
文件大小:1KB
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代码说明：
VC Support Vector Classification Usage: [nsv alpha bias] = svc(X,Y,ker,C) Parameters: X - Training inputs Y - Training targets ker - kernel function C - upper bound (non-separable case) nsv - number of support vectors alpha - Lagrange Multipliers b0 - bias term
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