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ICDM
2003
IEEE
100views Data Mining» more  ICDM 2003»
16 years 3 days ago
Tractable Group Detection on Large Link Data Sets
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider
JMLR
2010
117views more  JMLR 2010»
15 years 1 months ago
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
Xinhua Zhang, Thore Graepel, Ralf Herbrich
WSC
2007
15 years 9 months ago
A Bayesian approach to analysis of limit standards
Limit standards are probabilistic requirements or benchmarks regarding the proportion of replications conforming or not conforming to a desired threshold. Sample proportions resul...
Roy R. Creasey Jr., K. Preston White Jr.
IJCAI
2007
15 years 8 months ago
Inside-Outside Probability Computation for Belief Propagation
In this paper we prove that the well-known correspondence between the forward-backward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be...
Taisuke Sato
BMCBI
2004
133views more  BMCBI 2004»
15 years 6 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy