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NECO
2007
129views more  NECO 2007»
13 years 8 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 6 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
ICARCV
2002
IEEE
109views Robotics» more  ICARCV 2002»
14 years 1 months ago
Quantized wavelet features and support vector machines for on-road vehicle detection
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
Zehang Sun, George Bebis, Ronald Miller
BMCBI
2010
128views more  BMCBI 2010»
13 years 9 months ago
Conserved residue clusters at protein-protein interfaces and their use in binding site identification
Background: Biological evolution conserves protein residues that are important for structure and function. Both protein stability and function often require a certain degree of st...
Mainak Guharoy, Pinak Chakrabarti
JMLR
2012
11 years 11 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio