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» Learning Algorithms for Domain Adaptation
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GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 6 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
CORR
2002
Springer
142views Education» more  CORR 2002»
15 years 2 months ago
Learning Algorithms for Keyphrase Extraction
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases ...
Peter D. Turney
ICANN
2005
Springer
15 years 8 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 1 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
SYNASC
2007
IEEE
131views Algorithms» more  SYNASC 2007»
15 years 9 months ago
Adaptive Information Provisioning in an Agent-Based Virtual Organization- Preliminary Considerations
In this note we consider design of an information provisioning subsystem for an agent-based virtual organization. Flexible delivery of information is based on matching of ontologi...
Maria Ganzha, Marcin Paprzycki, Maciej Gawinecki, ...