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STACS
1999
Springer
14 years 2 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
14 years 1 months ago
Coevolution of neural networks using a layered pareto archive
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
German A. Monroy, Kenneth O. Stanley, Risto Miikku...
APBC
2004
124views Bioinformatics» more  APBC 2004»
13 years 11 months ago
BRINet: A BioResource Integration Network
Addressing queries interactively to a chain of two or more biological resources is an everyday task for many scientists, as they use in-silico methods to characterize a biological...
Jason E. Sew Hoy, Alan F. McCulloch, John R. McDon...
IJCAI
1997
13 years 11 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
VLSISP
2002
103views more  VLSISP 2002»
13 years 9 months ago
A New Class of Efficient Block-Iterative Interference Cancellation Techniques for Digital Communication Receivers
A new and efficient class of nonlinear receivers is introduced for digital communication systems. These "iterated-decision" receivers use optimized multipass algorithms t...
Albert M. Chan, Gregory W. Wornell