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CLADE
2008
IEEE
15 years 7 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
90
Voted
IJBIDM
2006
78views more  IJBIDM 2006»
15 years 14 days ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...
107
Voted
USITS
2003
15 years 1 months ago
Anypoint: Extensible Transport Switching on the Edge
Anypoint is a new model for one-to-many communication with ensemble sites—aggregations of end nodes that appear to the external Internet as a unified site. Policies for routing...
Ken Yocum, Darrell C. Anderson, Jeffrey S. Chase, ...
ICML
2005
IEEE
16 years 1 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
108
Voted
NIPS
2004
15 years 1 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...