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CCIA
2005
Springer
13 years 11 months ago
Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...
Agusti Solanas, Enrique Romero, Sergio Góme...
ICML
2008
IEEE
14 years 9 months ago
Cost-sensitive multi-class classification from probability estimates
For two-class classification, it is common to classify by setting a threshold on class probability estimates, where the threshold is determined by ROC curve analysis. An analog fo...
Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray
ICCAD
2000
IEEE
153views Hardware» more  ICCAD 2000»
14 years 15 days ago
Slope Propagation in Static Timing Analysis
ct Static timing analysis has traditionally used the PERT method for identifying the critical path of a digital circuit. Due to the influence of the slope of a signal at a particul...
David Blaauw, Vladimir Zolotov, Savithri Sundaresw...
ESEM
2007
ACM
14 years 24 days ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...
CEC
2011
IEEE
12 years 9 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow