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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 27 days ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
ICSE
2001
IEEE-ACM
15 years 11 months ago
Generating Wrappers for Command Line Programs: The Cal-Aggie Wrap-O-Matic Project
Software developers writing new software have strong incentives to make their products compliant to standards such as corba, com, and JavaBeans. Standardscompliance facilitates in...
Eric Wohlstadter, Stoney Jackson, Premkumar T. Dev...
ACL
1992
15 years 8 months ago
Estimating Upper and Lower Bounds on the Performance of Word-Sense Disambiguation Programs
We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained on monolingual material (Ro...
William A. Gale, Kenneth Ward Church, David Yarows...
ICML
2009
IEEE
16 years 7 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
IWCLS
2007
Springer
16 years 26 days 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