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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 6 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
DLOG
2004
15 years 6 months ago
Towards Explaining Semantic Matching
Interoperability among systems using different term vocabularies requires mappings between them. Matching applications generate these mappings. When the matching process utilizes ...
Deborah L. McGuinness, Pavel Shvaiko, Fausto Giunc...
166
Voted
CEC
2010
IEEE
15 years 6 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
152
Voted
BMCBI
2008
132views more  BMCBI 2008»
15 years 5 months ago
SCOWLP classification: Structural comparison and analysis of protein binding regions
Background: Detailed information about protein interactions is critical for our understanding of the principles governing protein recognition mechanisms. The structures of many pr...
Joan Teyra, Maciej Paszkowski-Rogacz, Gerd Anders,...
BMCBI
2008
114views more  BMCBI 2008»
15 years 5 months ago
Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale represen
Background: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualiza...
Leonid Zaslavsky, Yiming Bao, Tatiana A. Tatusova