608.txt

来自「This complete matlab for neural network」· 文本 代码 · 共 32 行

发信人: ihappy (hungry christmas), 信区: DataMining
标  题: Re: 有些迷惑
发信站: 南京大学小百合站 (Mon Dec 30 12:49:10 2002)


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: 】
: 【 在 adson (自强乃报国之本) 的大作中提到: 】
: : excuse me, what is NFL?
: 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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