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» On learning in agent-centered search
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CEC
2010
IEEE
15 years 7 months ago
Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem
A hyper-heuristic performs search over a set of other search mechanisms. During the search, it does not require any problem-dependent data. This structure makes hyperheuristics pro...
Mustafa Misir, Katja Verbeeck, Patrick De Causmaec...
IJCNN
2008
IEEE
16 years 17 days ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 11 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
AAAI
2010
15 years 7 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
CSE
2009
IEEE
15 years 9 months ago
Where Information Searches for You: The Visible Past Ubiquitous Knowledge Environment for Digital Humanities
— Visible Past proposes a new class of interdisciplinary learning, documenting, knowledge production, and discovery experiences that are anchored in space and time indicators. Th...
Sorin Adam Matei, Eric A. Wernert, Travis Faas