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Guyon Isabelle. Feature Extraction Foundations and Applications. Springer 2006. Pattern Recognition.pdf

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Guyon Isabelle. Feature Extraction Foundations and Applications. Springer 2006. Pattern Recognition.pdf

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Guyon Isabelle. Feature Extraction Foundations and Applications. Springer 2006. Pattern Recognition.pdf

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文档介绍:To our friends and foes
Foreword
Everyone loves a petition. As I write this, two billion fans are eagerly
anticipating the 2006 World Cup. Meanwhile, a fan base that is somewhat
smaller (but presumably includes you, dear reader) is equally eager to read
all about the results of the NIPS 2003 Feature Selection Challenge, contained
herein. Fans of Radford Neal and Jianguo Zhang (or of Bayesian -
works and Dirichlet diffusion trees) are gloating “I told you so” and looking for
proof that their win was not a fluke. But the matter is by no means settled,
and fans of SVMs are shouting ”wait ’til next year!” You know this book is
a bit more edgy than your standard academic treatise as soon as you see the
dedication: “To our friends and foes.”
Competition breeds improvement. Fifty years ago, the champion in 100m
butterfly swimming was 22 percent slower than today’s champion; the women’s
marathon champion from just 30 years ago was 26 percent slower. Who knows
how much better our machine learning algorithms would be today if Turing
in 1950 had proposed an petition rather than his elusive Test?
But what makes an petition? The field of Speech Recognition
has had NIST-petitions since 1988; error rates have been reduced by a
factor of three or more, but the field has not yet had the impact expected of it.
Information Retrieval has had its petition since 1992; progress has
been steady and refugees from petition have played important roles
in the hundred-billion-dollar search industry. Robotics has had the DARPA
Grand Challenge for only two years, but in that time we have seen the results
go plete failure to resounding ess (although it may have helped
that the second year’s course was somewhat easier than the first’s).
I think there are four criteria that define effective petitions:
1. The task must be approachable. Non-experts should be able to enter, to
see some results, and learn from their better-performing peers.
2. The scoring must be incremental. A