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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
16 years 4 hour ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
ICCAD
1997
IEEE
90views Hardware» more  ICCAD 1997»
15 years 11 months ago
A hierarchical decomposition methodology for multistage clock circuits
† This paper describes a novel methodology to automate the design of the interconnect distribution for multistage clock circuits. We introduce two key ideas. First, a hierarchica...
Gary Ellis, Lawrence T. Pileggi, Rob A. Rutenbar
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 10 months ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
NIPS
1998
15 years 8 months ago
SMEM Algorithm for Mixture Models
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Ge...
EOR
2006
73views more  EOR 2006»
15 years 6 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...