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» Newton's method and its use in optimization
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ETS
2010
IEEE
150views Hardware» more  ETS 2010»
15 years 29 days ago
Improving CNF representations in SAT-based ATPG for industrial circuits using BDDs
It was shown in the past that ATPG based on the Boolean Satisfiability problem is a beneficial complement to traditional ATPG techniques. Its advantages can be observed especially ...
Daniel Tille, Stephan Eggersglüß, Rene ...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
15 years 29 days ago
Cooperative network construction using digital germlines
This paper describes a study in the evolution of cooperative behavior, specifically the construction of communication networks, through digital evolution and multilevel selection...
David B. Knoester, Philip K. McKinley, Charles Ofr...
CVPR
2005
IEEE
16 years 1 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 29 days ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
JMLR
2008
111views more  JMLR 2008»
14 years 12 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz