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» Co-Tracking Using Semi-Supervised Support Vector Machines
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ALT
2006
Springer
15 years 6 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
BMCBI
2008
95views more  BMCBI 2008»
14 years 10 months ago
Mining protein networks for synthetic genetic interactions
Background: The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its e...
Sri R. Paladugu, Shan Zhao, Animesh Ray, Alpan Rav...
BMCBI
2006
173views more  BMCBI 2006»
14 years 9 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
TMI
2008
91views more  TMI 2008»
14 years 9 months ago
MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls
Automated computer classification (ACC) techniques are needed to facilitate physician's diagnosis of complex diseases in individual patients. We provide an example of ACC usin...
Simon Duchesne, A. Caroli, C. Geroldi, Christian B...
IR
2010
14 years 7 months ago
Sentence-level event classification in unstructured texts
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
Martina Naughton, Nicola Stokes, Joe Carthy