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141
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NIPS
1998
15 years 5 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
BMCBI
2007
89views more  BMCBI 2007»
15 years 3 months ago
msmsEval: tandem mass spectral quality assignment for high-throughput proteomics
Background: In proteomics experiments, database-search programs are the method of choice for protein identification from tandem mass spectra. As amino acid sequence databases grow...
Jason W. H. Wong, Matthew J. Sullivan, Hugh M. Car...
BMCBI
2007
156views more  BMCBI 2007»
15 years 3 months ago
Accuracy of structure-based sequence alignment of automatic methods
Background: Accurate sequence alignments are essential for homology searches and for building three-dimensional structural models of proteins. Since structure is better conserved ...
Changhoon Kim, Byungkook Lee
MP
2008
99views more  MP 2008»
15 years 3 months ago
Efficient robust optimization for robust control with constraints
This paper proposes an efficient computational technique for the optimal control of linear discrete-time systems subject to bounded disturbances with mixed polytopic constraints o...
Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph
184
Voted
EUROSYS
2010
ACM
15 years 10 months ago
PUSH: A Dataflow Shell
The deluge of huge data sets such as those provided by sensor networks, online transactions, and the web provide exciting opportunities for data analysis. The scale of the data ...
Noah Evans, Eric Van Hensbergen