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» A clustering method that uses lossy aggregation of data
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107
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ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 11 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
122
Voted
INFORMATICALT
2011
170views more  INFORMATICALT 2011»
14 years 7 months ago
Community Detection Through Optimal Density Contrast of Adjacency Matrix
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
Tianzhu Liang, Kwok Yip Szeto
81
Voted
CCGRID
2005
IEEE
15 years 6 months ago
Secret sequence comparison on public grid computing resources
Once a new gene has been sequenced, it must be verified whether or not it is similar to previously sequenced genes. In many cases, the organization that sequenced a potentially n...
Ken-ichi Kurata, Hiroshi Nakamura, Vincent Breton
85
Voted
RECOMB
2008
Springer
16 years 27 days ago
CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
Sourav Chatterji, Ichitaro Yamazaki, Zhaojun Bai, ...
91
Voted
BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li