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BIBM
2008
IEEE
137views Bioinformatics» more  BIBM 2008»
14 years 5 months ago
Exploring Alternative Splicing Features Using Support Vector Machines
Alternative splicing is a mechanism for generating different gene transcripts (called isoforms) from the same genomic sequence. Finding alternative splicing events experimentally ...
Jing Xia, Doina Caragea, Susan Brown
BMCBI
2008
153views more  BMCBI 2008»
13 years 10 months ago
GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine tec
Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although...
Wei Yu, Melinda Clyne, Siobhan M. Dolan, Ajay Yesu...
DATE
2009
IEEE
95views Hardware» more  DATE 2009»
14 years 5 months ago
Machine learning-based volume diagnosis
In this paper, a novel diagnosis method is proposed. The proposed technique uses machine learning techniques instead of traditional cause-effect and/or effect-cause analysis. The ...
Seongmoon Wang, Wenlong Wei
IJCNN
2006
IEEE
14 years 4 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
EOR
2007
165views more  EOR 2007»
13 years 10 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang