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129
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JMLR
2010
163views more  JMLR 2010»
14 years 7 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
97
Voted
ICML
2009
IEEE
16 years 1 months ago
Near-Bayesian exploration in polynomial time
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
J. Zico Kolter, Andrew Y. Ng
CSDA
2006
116views more  CSDA 2006»
15 years 15 days ago
Bayesian multiscale analysis for time series data
A recently proposed Bayesian multiscale tool for exploratory analysis of time series data is reconsidered and umerous important improvements are suggested. The improvements are in...
Tor Arne Øigård, Håvard Rue, Fr...
SRDS
1993
IEEE
15 years 4 months ago
Bayesian Analysis for Fault Location in Homogeneous Distributed Systems
We propose a simple and practical probabilistic comparison-based model, employing multiple incomplete test concepts, for handling fault location in distributed systems using a Bay...
Yu Lo Cyrus Chang, Leslie C. Lander, Horng-Shing L...
108
Voted
WSCG
2004
163views more  WSCG 2004»
15 years 1 months ago
Fairing of Polygon Meshes Via Bayesian Discriminant Analysis
Design of an anisotropic diffusion-based filter that performs Bayesian classification for automatic selection of a proper weight for fairing polygon meshes is proposed. The data a...
Chun-Yen Chen, Kuo-Young Cheng, Hong-Yuan Mark Lia...