2512 search results - page 109 / 503 » Learning from Highly Structured Data by Decomposition |
CORR
2006
Springer
14 years 10 months ago
2006
Springer
The organization and mining of malaria genomic and post-genomic data is important to significantly increase the knowledge of the biology of its causative agents, and is motivated,...
104
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BMCBI
2011
14 years 1 months ago
2011
Background: Copy number variants (CNVs), including deletions, amplifications, and other rearrangements, are common in human and cancer genomes. Copy number data from array compara...
WABI
2007
Springer
15 years 4 months ago
2007
Springer
In comparing genomic maps, it is often difficult to distinguish mapping errors and incorrectly resolved paralogies from genuine rearrangements of the genomes. A solution to this ...
127
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VLDB
1999
ACM
15 years 2 months ago
1999
ACM
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...