3625 search results - page 649 / 725 » On choosing |
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
117
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GECCO
2006
Springer
15 years 3 months ago
2006
Springer
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
ALT
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
CCS
2001
ACM
15 years 3 months ago
2001
ACM
We present a mathematical construct which provides a cryptographic protocol to verifiably shuffle a sequence of k modular integers, and discuss its application to secure, universa...
101
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COLT
1995
Springer
15 years 3 months ago
1995
Springer
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...