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105
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NAACL
2007
15 years 1 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney
ICCS
2007
Springer
15 years 5 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
95
Voted
ICONIP
2009
14 years 9 months ago
Gender Classification Based on Support Vector Machine with Automatic Confidence
In this paper, we propose a support vector machine with automatic confidence (SVMAC) for gender classification based on facial images. Namely, we explore how to incorporate confide...
Zheng Ji, Bao-Liang Lu
97
Voted
BMCBI
2008
134views more  BMCBI 2008»
14 years 11 months ago
Prediction of protein-protein binding site by using core interface residue and support vector machine
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
Nan Li, Zhonghua Sun, Fan Jiang
RECOMB
2007
Springer
15 years 12 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...