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» Scheduled Discovery of Exception Rules
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IWCLS
2007
Springer
13 years 11 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
RECOMB
2002
Springer
14 years 6 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
FLAIRS
2007
13 years 8 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
DEBU
2008
149views more  DEBU 2008»
13 years 5 months ago
Semantics enhanced Services: METEOR-S, SAWSDL and SA-REST
Services Research Lab at the Knoesis center and the LSDIS lab at University of Georgia have played a significant role in advancing the state of research in the areas of workflow m...
Amit P. Sheth, Karthik Gomadam, Ajith Ranabahu
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
13 years 11 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima