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老板这个Idea可行么?# Computation - 科学计算
w*j
1
我怎么看都觉得应该有人做过。哪位给说说?
What I suggested to you was a further use of GAs for dealing with SVMs.
The support vectors give an optimal classifier in the sense that they
maximize the margin of separation between classes. But they do not
provide the optimal classifier. A better classifier will be possible by
using some of the SVs and some other data points to define the
separating hyperplane. You could experiment with this using GAs and
having your starting population as the SVs obtained by a standard S
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l*h
2
顶!

【在 w******j 的大作中提到】
: 我怎么看都觉得应该有人做过。哪位给说说?
: What I suggested to you was a further use of GAs for dealing with SVMs.
: The support vectors give an optimal classifier in the sense that they
: maximize the margin of separation between classes. But they do not
: provide the optimal classifier. A better classifier will be possible by
: using some of the SVs and some other data points to define the
: separating hyperplane. You could experiment with this using GAs and
: having your starting population as the SVs obtained by a standard S

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p*m
3
真幸福,老板还帮你想idea

【在 w******j 的大作中提到】
: 我怎么看都觉得应该有人做过。哪位给说说?
: What I suggested to you was a further use of GAs for dealing with SVMs.
: The support vectors give an optimal classifier in the sense that they
: maximize the margin of separation between classes. But they do not
: provide the optimal classifier. A better classifier will be possible by
: using some of the SVs and some other data points to define the
: separating hyperplane. You could experiment with this using GAs and
: having your starting population as the SVs obtained by a standard S

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