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» Approximating Component Selection
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94
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PSB
2004
15 years 2 months ago
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
Xinghua Lu, Milos Hauskrecht, Roger S. Day
123
Voted
UAI
2001
15 years 2 months ago
A Bayesian Multiresolution Independence Test for Continuous Variables
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
Dimitris Margaritis, Sebastian Thrun
97
Voted
AAAI
1998
15 years 2 months ago
Bayesian Q-Learning
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...
Richard Dearden, Nir Friedman, Stuart J. Russell
UAI
2003
15 years 2 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
IMAGING
2000
15 years 2 months ago
Spectral-Based Six-Color Separation Minimizing Metamerism
A spectral-based six-color printer model was derived in determining the six color separations for an input spectral image that yields the least metameric reproduction relative to ...
Di-yuan Tzeng, Roy S. Berns