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» Modelling Bounded Rationality Using Evolutionary Techniques
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TCAD
2010
136views more  TCAD 2010»
13 years 2 months ago
Bounded Model Debugging
Design debugging is a major bottleneck in modern VLSI design flows as both the design size and the length of the error trace contribute to its inherent complexity. With typical des...
Brian Keng, Sean Safarpour, Andreas G. Veneris
ISICA
2007
Springer
14 years 2 months ago
Parameter Setting for Evolutionary Latent Class Clustering
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
14 years 1 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
TNN
2010
143views Management» more  TNN 2010»
13 years 2 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
IJCAI
1993
13 years 9 months ago
Provably Bounded Optimal Agents
Since its inception, arti cial intelligence has relied upon a theoretical foundation centred around perfect rationality as the desired property of intelligent systems. We argue, a...
Stuart J. Russell, Devika Subramanian, Ronald Parr