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» Learning Abstraction Hierarchies for Problem Solving
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BMCBI
2006
180views more  BMCBI 2006»
13 years 8 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis
COMPIMAGE
2010
Springer
13 years 6 months ago
On the Effects of Normalization in Adaptive MRF Hierarchies
Abstract. In this paper, we analyze the effects of energy normalization in adaptivehierarchy-based energy minimization methods. Adaptive hierarchies provide a nt multi-level abstra...
Albert Y. C. Chen, Jason J. Corso
CP
2001
Springer
14 years 1 months ago
Collaborative Learning for Constraint Solving
Abstract. Although constraint programming offers a wealth of strong, generalpurpose methods, in practice a complex, real application demands a person who selects, combines, and ref...
Susan L. Epstein, Eugene C. Freuder
AIMSA
2008
Springer
14 years 2 months ago
Incorporating Learning in Grid-Based Randomized SAT Solving
Abstract. Computational Grids provide a widely distributed computing environment suitable for randomized SAT solving. This paper develops techniques for incorporating learning, kno...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
ATAL
2006
Springer
14 years 10 days ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...