600.txt

This complete matlab for neural network

发信人: GzLi (笑梨), 信区: DataMining
标  题: svm properties
发信站: 南京大学小百合站 (Sun May  5 18:07:23 2002), 站内信件
there are total 5,
9 Duality
9 Kernels
9 Margin
9 Convexity
9 Sparseness
some in detail are:
z DUALITY is the first feature of Support Vector
Machines
z SVMs are Linear Learning Machines
represented in a dual fashion
  f(x)=<w,x>=sigma(ai*yi*<xi,x>)+b
z Data appear only within dot products (in
decision function and in training algorithm)

Second Property of SVMs:
SVMs are Linear Learning Machines, that
z Use a dual representation
AND
z Operate in a kernel induced feature space
(that is:
   f(x)=sigma(ai*yi*<O(xi)O(xj)>)+b
is a linear function in the feature space implicitely
defined by K)

Sparseness:
another fundamental property of SVMs
--
GzLi如是说：
     Joy and pain are coming and going both
     Be kind to yourself and others.

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※ 修改:．GzLi 於 May  5 18:39:08 修改本文．[FROM: 211.80.38.29]
※ 来源:．南京大学小百合站 bbs.nju.edu.cn．[FROM: 211.80.38.29]