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GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
14 years 2 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
BMCBI
2006
134views more  BMCBI 2006»
13 years 10 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
BMCBI
2010
143views more  BMCBI 2010»
13 years 10 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
ACL
1997
13 years 11 months ago
Towards Resolution of Bridging Descriptions
We present preliminary results concerning robust techniques for resolving bridging definite descriptions. We report our analysis of a collection of 20 Wall Street Journal articles...
Renata Vieira, Simone Teufel
ACSAC
2003
IEEE
14 years 1 months ago
Defending Embedded Systems Against Buffer Overflow via Hardware/Software
Buffer overflow attacks have been causing serious security problems for decades. With more embedded systems networked, it becomes an important research problem to defend embedded ...
Zili Shao, Qingfeng Zhuge, Yi He, Edwin Hsing-Mean...