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» Improving Rule Evaluation Using Multitask Learning
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DAGSTUHL
2007
15 years 3 months ago
Parallel universes to improve the diagnosis of cardiac arrhythmias
arrhythmias (extended abstract) Elisa Fromont, Ren´e Quiniou, Marie-Odile Cordier We are interested in using parallel universes to learn interpretable models that can be subseque...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 5 months ago
Multiobjective genetic rule selection as a data mining postprocessing procedure
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a...
Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
IPM
2006
171views more  IPM 2006»
15 years 1 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
102
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FLAIRS
2003
15 years 2 months ago
Improving the Representation Space through Exception-Based Learning
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 3 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...