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» Inference in Bayesian Networks
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ECCV
2006
Springer
16 years 8 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
IPPS
2007
IEEE
16 years 1 months ago
Building the Tree of Life on Terascale Systems
Bayesian phylogenetic inference is an important alternative to maximum likelihood-based phylogenetic method. However, inferring large trees using the Bayesian approach is computat...
Xizhou Feng, Kirk W. Cameron, Carlos P. Sosa, Bria...
IPM
2000
142views more  IPM 2000»
15 years 6 months ago
Adapting a diagnostic problem-solving model to information retrieval
In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. In this model, we treat documents as \disorders" an...
Inien Syu, Sheau-Dong Lang
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 12 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
201
Voted
JMLR
2010
218views more  JMLR 2010»
15 years 1 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao