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NIPS
2008
13 years 9 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
SADM
2010
196views more  SADM 2010»
13 years 2 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
WOSP
2000
ACM
14 years 4 days ago
Analytic model of Web servers in distributed environments
In this paper, we illustrate a model-based approach to Web server performance evaluation, and present an analytic queueing model of Web servers in distributed environments. Perfor...
Paul Reeser, Rema Hariharan
RECOMB
2003
Springer
14 years 8 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
ICML
2006
IEEE
14 years 8 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel