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» Large scale genomic sequence SVM classifiers
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ICML
2005
IEEE
14 years 5 months ago
Large scale genomic sequence SVM classifiers
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
Bernhard Schölkopf, Gunnar Rätsch, S&oum...
WABI
2009
Springer
181views Bioinformatics» more  WABI 2009»
13 years 11 months ago
Decoding Synteny Blocks and Large-Scale Duplications in Mammalian and Plant Genomes
Abstract. The existing synteny block reconstruction algorithms use anchors (e.g., orthologous genes) shared over all genomes to construct the synteny blocks for multiple genomes. T...
Qian Peng, Max A. Alekseyev, Glenn Tesler, Pavel A...
JMLR
2010
108views more  JMLR 2010»
12 years 11 months ago
Tree Decomposition for Large-Scale SVM Problems
To handle problems created by large data sets, we propose a method that uses a decision tree to decompose a given data space and train SVMs on the decomposed regions. Although the...
Fu Chang, Chien-Yang Guo, Xiao-Rong Lin, Chi-Jen L...
BMCBI
2006
143views more  BMCBI 2006»
13 years 4 months ago
IsoSVM - Distinguishing isoforms and paralogs on the protein level
Background: Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred...
Michael Spitzer, Stefan Lorkowski, Paul Cullen, Al...
ICML
2003
IEEE
14 years 5 months ago
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Ha...