609.txt

This complete matlab for neural network

发信人: GzLi (笑梨), 信区: DataMining
标  题: Re: 有些迷惑
发信站: 南京大学小百合站 (Mon Dec 30 16:38:02 2002)

I have a question.
daniel is excerllent at NN ensemble, can I do something on ML ensemble?
then NFL is not a truth.

【 在 ihappy (hungry christmas) 的大作中提到: 】
: yep, NFL is not directly useful in specific ML algorithms. But i think it 
: is important for knowing what is good ML algorithm and what makes good ML
: algorithm.
: 【 在 daniel (飞翔鸟) 的大作中提到: 】
: : NFL just means you get some goodness but sacrifice others. It should 
: : not be anticipated to get something good in every aspect or in every 
: : way. This idea is not new. Even in 1980s', researchers have implicitly 
: : regarded it as a norm. But until D. Wolpert, it has not been rigorously 
: : justified. So, at present NFL theorem is regarded as the achievement 
: : of him. It is worth noting that NFL does not conflict ML research because
: : NFL just states that there is no universal winner, which is obvious
: : correct. But for specific scenarios, there may exist a winner.
: : for NFL, refer: 
: : D.H. Wolpert and W.G. Macready. No free lunch theorems for optimization. 
: : IEEE TEC97, 1(1)
: : M. Koppen, D.H. Wolpert, and W.G. Macready. Remarks on a recent paper
: : on the no free lunch theorems. IEEE TEC01, 5(3)


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