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» TRUST-TECH based Methods for Optimization and Learning
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CORR
2007
Springer
126views Education» more  CORR 2007»
15 years 21 days ago
Linear Tabling Strategies and Optimizations
Recently there has been a growing interest of research in tabling in the logic programming community because of its usefulness in a variety of application domains including progra...
Neng-Fa Zhou, Taisuke Sato, Yi-Dong Shen
99
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GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 4 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
ICTAI
2008
IEEE
15 years 7 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty
IIE
2007
120views more  IIE 2007»
15 years 19 days ago
Words are Silver, Mouse-Clicks are Gold? (or how to optimize the level of language formalization of young students in a Logo-bas
How do we teach children to express and communicate ideas in a formal and informal mode? What type of language do they need in a concrete context? How should they determine a prope...
Evgenia Sendova, Toni Chehlarova, Pavel Boytchev
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
15 years 6 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean