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NIPS
2001
13 years 9 months ago
Infinite Mixtures of Gaussian Process Experts
We present an extension to the Mixture of Experts (ME) model, where the individual experts are Gaussian Process (GP) regression models. Using an input-dependent adaptation of the ...
Carl Edward Rasmussen, Zoubin Ghahramani
JAIR
2008
113views more  JAIR 2008»
13 years 7 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
13 years 7 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
EMNLP
2010
13 years 5 months ago
Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective
With the proliferation of user-generated articles over the web, it becomes imperative to develop automated methods that are aware of the ideological-bias implicit in a document co...
Amr Ahmed, Eric P. Xing
CIMCA
2005
IEEE
14 years 1 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka