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TSP
2008
180views more  TSP 2008»
13 years 7 months ago
Support Vector Machine Training for Improved Hidden Markov Modeling
We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...
Alba Sloin, David Burshtein
JMLR
2008
110views more  JMLR 2008»
13 years 7 months ago
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
Bo Jiang, Xuegong Zhang, Tianxi Cai
ACL
2011
12 years 11 months ago
Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
Graph-based dependency parsing can be sped up significantly if implausible arcs are eliminated from the search-space before parsing begins. State-of-the-art methods for arc filt...
Colin Cherry, Shane Bergsma
WADS
2001
Springer
80views Algorithms» more  WADS 2001»
14 years 5 days ago
Optimization over Zonotopes and Training Support Vector Machines
Marshall W. Bern, David Eppstein
CVPR
1997
IEEE
13 years 12 months ago
Training Support Vector Machines: an Application to Face Detection
Edgar Osuna, Robert Freund, Federico Girosi