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» On Learning Limiting Programs
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AIME
2005
Springer
16 years 2 days ago
Learning Rules from Multisource Data for Cardiac Monitoring
This paper aims at formalizing the concept of learning rules from multisource data in a cardiac monitoring context. Our method has been implemented and evaluated on learning from d...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
GECCO
2004
Springer
15 years 12 months ago
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, A...
GPEM
2000
121views more  GPEM 2000»
15 years 6 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
ANCS
2008
ACM
15 years 8 months ago
A remotely accessible network processor-based router for network experimentation
Over the last decade, programmable Network Processors (NPs) have become widely used in Internet routers and other network components. NPs enable rapid development of complex packe...
Charlie Wiseman, Jonathan S. Turner, Michela Becch...
MDAI
2005
Springer
16 years 7 hour ago
Meta-data: Characterization of Input Features for Meta-learning
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...
Ciro Castiello, Giovanna Castellano, Anna Maria Fa...