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» Approximate algorithms for neural-Bayesian approaches
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UAI
2000
14 years 11 months ago
Being Bayesian about Network Structure
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
Nir Friedman, Daphne Koller
JCO
2010
101views more  JCO 2010»
14 years 8 months ago
Separator-based data reduction for signed graph balancing
Abstract Polynomial-time data reduction is a classical approach to hard graph problems. Typically, particular small subgraphs are replaced by smaller gadgets. We generalize this ap...
Falk Hüffner, Nadja Betzler, Rolf Niedermeier
ICML
2004
IEEE
15 years 10 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
RECOMB
2006
Springer
15 years 10 months ago
Efficient Enumeration of Phylogenetically Informative Substrings
We study the problem of enumerating substrings that are common amongst genomes that share evolutionary descent. For example, one might want to enumerate all identical (therefore co...
Stanislav Angelov, Boulos Harb, Sampath Kannan, Sa...
WABI
2009
Springer
132views Bioinformatics» more  WABI 2009»
15 years 4 months ago
mpscan: Fast Localisation of Multiple Reads in Genomes
Abstract. With Next Generation Sequencers, sequence based transcriptomic or epigenomic assays yield millions of short sequence reads that need to be mapped back on a reference geno...
Eric Rivals, Leena Salmela, Petteri Kiiskinen, Pet...