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» Evaluating learning algorithms and classifiers
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SIGIR
2005
ACM
14 years 3 months ago
Automatic web query classification using labeled and unlabeled training data
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
BMCBI
2008
112views more  BMCBI 2008»
13 years 10 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
JMS
2010
90views more  JMS 2010»
13 years 8 months ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...
COLING
2010
13 years 4 months ago
Maximum Metric Score Training for Coreference Resolution
A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...
Shanheng Zhao, Hwee Tou Ng
ICIP
2008
IEEE
14 years 12 months ago
Complex discriminant features for object classification
A new algorithm for the design of complex features, to be used in the discriminant saliency approach to object classification, is presented. The algorithm consists of sequential r...
Sunhyoung Han, Nuno Vasconcelos