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COLT
1992
Springer
15 years 8 months ago
On the Computational Power of Neural Nets
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
Hava T. Siegelmann, Eduardo D. Sontag
147
Voted
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 7 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
AMAST
2008
Springer
15 years 6 months ago
Evolving Specification Engineering
Abstract. The motivation for this work is to support a natural separation of concerns during formal system development. In a developmentby-refinement context, we would like to be a...
Dusko Pavlovic, Peter Pepper, Douglas R. Smith
WSCG
2003
155views more  WSCG 2003»
15 years 5 months ago
Optimal Curve Fitting to Digital Data
An optimal curve fitting technique has been developed which is meant to automatically provide a fit to any ordered digital data in plane. A more flexible class of rational cubic f...
Muhammad Sarfraz
107
Voted
IJCAI
1993
15 years 5 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis