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» Data Mining via Support Vector Machines
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BMCBI
2007
83views more  BMCBI 2007»
14 years 10 months ago
Identification of sequence motifs significantly associated with antisense activity
Background: Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive ...
Kyle A. McQuisten, Andrew S. Peek
BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
159
Voted
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
15 years 10 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
ASPLOS
1998
ACM
15 years 2 months ago
A Cost-Effective, High-Bandwidth Storage Architecture
This paper describes the Network-Attached Secure Disk (NASD) storage architecture, prototype implementations of NASD drives, array management for our architecture, and three files...
Garth A. Gibson, David Nagle, Khalil Amiri, Jeff B...
VLSISP
2010
254views more  VLSISP 2010»
14 years 8 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...