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» Support Vector Machines: Theory and Applications
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JAIR
2006
113views more  JAIR 2006»
14 years 11 months ago
Generative Prior Knowledge for Discriminative Classification
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Arkady Epshteyn, Gerald DeJong
EMNLP
2008
15 years 1 months ago
Arabic Named Entity Recognition using Optimized Feature Sets
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Yassine Benajiba, Mona T. Diab, Paolo Rosso
ALMOB
2008
69views more  ALMOB 2008»
14 years 12 months ago
Learning from positive examples when the negative class is undetermined- microRNA gene identification
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
JMLR
2010
152views more  JMLR 2010»
14 years 6 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
AMAI
2004
Springer
15 years 5 months ago
Biased Minimax Probability Machine for Medical Diagnosis
The Minimax Probability Machine (MPM) constructs a classifier, which provides a worst-case bound on the probability of misclassification of future data points based on reliable ...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...