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JMLR
2010
108views more  JMLR 2010»
13 years 3 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
14 years 9 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
AINA
2006
IEEE
14 years 3 months ago
V6Gene: A Scalable IPv6 Prefix Generator for Route Lookup Algorithm Benchmark
Most conventional IPv4-based route lookup algorithms are no more suitable for IPv6 packet forwarding due to the significantly increased 128-bit-long address. However, as a result o...
Kai Zheng, Bin Liu
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 2 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
BIBE
2004
IEEE
128views Bioinformatics» more  BIBE 2004»
14 years 22 days ago
Towards a Proteomics Meta-Classification
There is a recognized need for a meta-classification that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins...
Anand Kumar, Barry Smith