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ATAL
2006
Springer
15 years 7 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 3 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
TFS
2008
157views more  TFS 2008»
15 years 3 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
IJON
2010
112views more  IJON 2010»
15 years 1 months ago
Efficient voting prediction for pairwise multilabel classification
The pairwise approach to multilabel classification reduces the problem to learning and aggregating preference predictions among the possible labels. A key problem is the need to qu...
Eneldo Loza Mencía, Sang-Hyeun Park, Johann...
132
Voted
PDPTA
2000
15 years 5 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