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» UMDAs for dynamic optimization problems
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GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 6 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
88
Voted
IDA
2007
Springer
15 years 6 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
OTM
2007
Springer
15 years 6 months ago
Self-healing in Binomial Graph Networks
The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. However, as the number of components increases...
Thara Angskun, George Bosilca, Jack Dongarra
81
Voted
ESCIENCE
2006
IEEE
15 years 6 months ago
An Extended Extremal Optimisation Model for Parallel Architectures
: A relatively new meta-heuristic, known as extremal optimisation (EO), is based on the evolutionary science notion that poorly performing genes of an individual are replaced by ra...
Marcus Randall, Andrew Lewis
104
Voted
IAT
2006
IEEE
15 years 6 months ago
Resolution-Based Policy Search for Imperfect Information Differential Games
Differential games (DGs), considered as a typical model of game with continuous states and non-linear dynamics, play an important role in control and optimization. Finding optimal...
Minh Nguyen-Duc, Brahim Chaib-draa