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» A Bayesian Approximation Method for Online Ranking
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JMLR
2011
106views more  JMLR 2011»
13 years 9 days ago
A Bayesian Approximation Method for Online Ranking
This paper describes a Bayesian approximation method to obtain online ranking algorithms for games with multiple teams and multiple players. Recently for Internet games large onli...
Ruby C. Weng, Chih-Jen Lin
SIAMSC
2011
219views more  SIAMSC 2011»
13 years 9 days ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
RSKT
2010
Springer
13 years 3 months ago
Naive Bayesian Rough Sets
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Yiyu Yao, Bing Zhou
AAAI
2008
13 years 7 months ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
CIKM
2004
Springer
13 years 10 months ago
Local methods for estimating pagerank values
The Google search engine uses a method called PageRank, together with term-based and other ranking techniques, to order search results returned to the user. PageRank uses link ana...
Yen-Yu Chen, Qingqing Gan, Torsten Suel