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» Approximate algorithms for neural-Bayesian approaches
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ECML
2005
Springer
15 years 11 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
SMI
2003
IEEE
223views Image Analysis» more  SMI 2003»
15 years 11 months ago
Skeleton Extraction of 3D Objects with Radial Basis Functions
Skeleton is a lower dimensional shape description of an object. The requirements of a skeleton differ with applications. For example, object recognition requires skeletons with pr...
Wan-Chun Ma, Fu-Che Wu, Ming Ouhyoung
VLSID
1999
IEEE
93views VLSI» more  VLSID 1999»
15 years 10 months ago
Spec-Based Repeater Insertion and Wire Sizing for On-chip Interconnect
Recently Lillis, et al. presented an elegant dynamic programming approach to RC interconnect delay optimization through driver sizing, repeater insertion, and, wire sizing which e...
Noel Menezes, Chung-Ping Chen
FASE
2009
Springer
15 years 9 months ago
Accurate and Efficient Structural Characteristic Feature Extraction for Clone Detection
Abstract. Structure-oriented approaches in clone detection have become popular in both code-based and model-based clone detection. However, existing methods for capturing structura...
Hoan Anh Nguyen, Tung Thanh Nguyen, Nam H. Pham, J...
ECAI
2006
Springer
15 years 9 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani