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ICML
2004
IEEE
14 years 8 months ago
Dynamic abstraction in reinforcement learning via clustering
Abstraction in Reinforcement Learning via Clustering Shie Mannor shie@mit.edu Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA ...
Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein
UC
2009
Springer
14 years 2 months ago
Abstract Geometrical Computation and Computable Analysis
Geometrical Computation and Computable Analysis J´erˆome Durand-Lose⋆ Laboratoire d’Informatique Fondamentale d’Orl´eans, Universit´e d’Orl´eans, B.P. 6759, F-45067 OR...
Jérôme Durand-Lose
TNN
2010
173views Management» more  TNN 2010»
13 years 2 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
ASM
2003
ASM
14 years 23 days ago
Privacy, Abstract Encryption and Protocols: An ASM Model - Part I
d in Abstract State Machines – Advances in Theory and Applications: 10th International Workshop, ASM 2003, volume 2589 of LNCS, Springer–Verlag. Abstract Encryption and Protoco...
Dean Rosenzweig, Davor Runje, Neva Slani
ISBRA
2011
Springer
12 years 11 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao