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ATAL
2006
Springer
15 years 8 months 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...
TNN
2008
105views more  TNN 2008»
15 years 5 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
PDPTA
2000
15 years 6 months ago
Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems
In this paper, a parallel evolutionary multi-criteria optimization algorithm: DGA and DRMOGA are applied to block layout problems. The results are compared to the results of SGA an...
Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki
156
Voted
WSC
2008
15 years 7 months ago
Randomized methods for solving the Winner Determination Problem in combinatorial auctions
Combinatorial auctions, where buyers can bid on bundles of items rather than bidding them sequentially, often lead to more economically efficient allocations of financial resource...
Joshua C. C. Chan, Dirk P. Kroese
CVPR
2004
IEEE
16 years 7 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher