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147
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FOGA
1990
15 years 4 months ago
A Hierarchical Approach to Learning the Boolean Multiplexer Function
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
John R. Koza
152
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ICWE
2003
Springer
15 years 9 months ago
Semi-automatic Assessment Process in a Ubiquitous Environment for Language Learning
This work presents a research on the methods and mechanisms necessary to bring the Information and Communication Technologies in the traditional classroom. This will be achieved by...
Maximiliano Paredes, Manuel Ortega, Pedro P. S&aac...
141
Voted
BMCBI
2008
141views more  BMCBI 2008»
15 years 3 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
120
Voted
EMNLP
2010
15 years 1 months ago
Resolving Event Noun Phrases to Their Verbal Mentions
Event Anaphora Resolution is an important task for cascaded event template extraction and other NLP study. Previous study only touched on event pronoun resolution. In this paper, ...
Bin Chen, Jian Su, Chew Lim Tan
142
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 7 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa