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» Incremental Construction of Structured Hidden Markov Models
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IJCAI
2001
13 years 11 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
BMCBI
2007
95views more  BMCBI 2007»
13 years 10 months ago
Methods for estimating human endogenous retrovirus activities from EST databases
Background: Human endogenous retroviruses (HERVs) are surviving traces of ancient retrovirus infections and now reside within the human DNA. Recently HERV expression has been dete...
Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel...
AAAI
2010
13 years 11 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
UML
2001
Springer
14 years 2 months ago
UML Support for Designing Software Systems as a Composition of Design Patterns
Much of the research work on design patterns has primarily focused on discovering and documenting patterns. Design patterns promise early reuse benefits at the design stage. To rea...
Sherif M. Yacoub, Hany H. Ammar
RECOMB
2004
Springer
14 years 10 months ago
Computational identification of evolutionarily conserved exons
Phylogenetic hidden Markov models (phylo-HMMs) have recently been proposed as a means for addressing a multispecies version of the ab initio gene prediction problem. These models ...
Adam C. Siepel, David Haussler