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UAI
2004
13 years 9 months ago
Annealed MAP
Maximum a Posteriori assignment (MAP) is the problem of finding the most probable instantiation of a set of variables given the partial evidence on the other variables in a Bayesi...
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
UAI
2004
13 years 9 months 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
BMCBI
2002
126views more  BMCBI 2002»
13 years 7 months ago
RIO: Analyzing proteomes by automated phylogenomics using resampled inference of orthologs
Background: When analyzing protein sequences using sequence similarity searches, orthologous sequences (that diverged by speciation) are more reliable predictors of a new protein&...
Christian M. Zmasek, Sean R. Eddy
ANOR
2008
69views more  ANOR 2008»
13 years 8 months ago
Scheduling vessels and container-yard operations with conflicting objectives
Abstract We consider the problem of coordinating the operations of two supply chain partners: a foreign shipping company and a domestic port. The two partners have conflicting busi...
Endre Boros, Lei Lei, Yao Zhao, Hua Zhong
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...