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193
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COLT
2004
Springer
15 years 10 months ago
2004
Springer
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X
180
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CCS
2006
ACM
15 years 10 months ago
2006
ACM
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
164
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COLT
2006
Springer
15 years 10 months ago
2006
Springer
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
188
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ML
2000
ACM
15 years 6 months ago
2000
ACM
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
164
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ISMIR
2004
Springer
15 years 11 months ago
2004
Springer
In this paper we evaluate two methods for key estimation from polyphonic audio recordings. Our goal is to compare between a strategy using a cognition-inspired model and several m...