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» Approximate algorithms for neural-Bayesian approaches
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NIPS
2007
14 years 11 months ago
Stable Dual Dynamic Programming
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
ICPR
2006
IEEE
15 years 11 months ago
Weakly Supervised Learning on Pre-image Problem in Kernel Methods
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
Weishi Zheng, Jian-Huang Lai, Pong Chi Yuen
STRINGOLOGY
2004
14 years 11 months ago
BDD-Based Analysis of Gapped q-Gram Filters
Recently, there has been a surge of interest in gapped q-gram filters for approximate string matching. Important design parameters for filters are for example the value of q, the f...
Marc Fontaine, Stefan Burkhardt, Juha Kärkk&a...
CVPR
2005
IEEE
15 years 12 months ago
Asymmetrical Occlusion Handling Using Graph Cut for Multi-View Stereo
Occlusion is usually modelled in two images symmetrically in previous stereo algorithms which cannot work for multi-view stereo efficiently. In this paper, we present a novel form...
Yichen Wei, Long Quan
CEC
2007
IEEE
15 years 4 months ago
The application of evolutionary multi-criteria optimization to dynamic molecular alignment
— This study introduces the multi-criteria approach to the optimization of dynamic molecular alignment by shaped femtosecond laser pulses, which has been considered so far only a...
Ofer M. Shir, Michael Emmerich, Thomas Bäck, ...