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» Training Invariant Support Vector Machines
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ACL
2007
13 years 8 months ago
Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be included in a queryfocused summary. Several SVMs are trained using information fr...
María Fuentes Fort, Enrique Alfonseca, Hora...
NECO
2007
107views more  NECO 2007»
13 years 6 months ago
Training a Support Vector Machine in the Primal
Most literature on Support Vector Machines (SVMs) concentrate on the dual optimization problem. In this paper, we would like to point out that the primal problem can also be solve...
Olivier Chapelle
ESANN
2000
13 years 8 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
PAKDD
2005
ACM
111views Data Mining» more  PAKDD 2005»
14 years 26 days ago
Training Support Vector Machines Using Greedy Stagewise Algorithm
Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
Liefeng Bo, Ling Wang, Licheng Jiao
ICNC
2005
Springer
14 years 27 days ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper