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» Generalization Improvement in Multi-Objective Learning
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GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
13 years 11 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani
CE
2007
99views more  CE 2007»
13 years 7 months ago
Contextual learning theory: Concrete form and a software prototype to improve early education
In Ôcontextual learning theoryÕ three types of contextual conditions (differentiation of learning procedures and materials, integrated ICT support, and improvement of developme...
Ton Mooij
ATAL
2006
Springer
13 years 9 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke
SAT
2004
Springer
88views Hardware» more  SAT 2004»
14 years 27 days ago
Improving First-order Model Searching by Propositional Reasoning and Lemma Learning
The finite model generation problem in the first-order logic is a generalization of the propositional satisfiability (SAT) problem. An essential algorithm for solving the proble...
Zhuo Huang, Hantao Zhang, Jian Zhang
ICML
1996
IEEE
14 years 8 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez