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ATS
1997
IEEE
89views Hardware» more  ATS 1997»
15 years 11 months ago
Guaranteeing Testability in Re-encoding for Low Power
This paper considers the testability implications of low power design methodologies. Low power and high testability are shown to be highly contrasting requirements, and an optimiz...
Silvia Chiusano, Fulvio Corno, Paolo Prinetto, Mau...
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
AUSAI
2008
Springer
15 years 8 months ago
Clustering with XCS on Complex Structure Dataset
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang
FLAIRS
2001
15 years 8 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...
EC
2008
103views ECommerce» more  EC 2008»
15 years 6 months ago
A Graphical Model for Evolutionary Optimization
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems di...
Christopher K. Monson, Kevin D. Seppi