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UAI
2004
15 years 14 days ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
ICML
2009
IEEE
15 years 12 months ago
A Bayesian approach to protein model quality assessment
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
Hetunandan Kamisetty, Christopher James Langmead
ICMCS
2006
IEEE
192views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Classifier Optimization for Multimedia Semantic Concept Detection
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Sheng Gao, Qibin Sun
ICC
2009
IEEE
167views Communications» more  ICC 2009»
15 years 5 months ago
Diversity Analysis of Bit-Interleaved Coded Multiple Beamforming
—In this paper, diversity analysis of bit-interleaved coded multiple beamforming (BICMB) is extended to the case of general spatial interleavers, removing a condition on their pr...
Hong Ju Park, Ender Ayanoglu
83
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BMCBI
2007
114views more  BMCBI 2007»
14 years 11 months ago
Combination of scoring schemes for protein docking
Background: Docking algorithms are developed to predict in which orientation two proteins are likely to bind under natural conditions. The currently used methods usually consist o...
Philipp Heuser, Dietmar Schomburg