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» Relation Extraction Using Support Vector Machine
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109
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IJON
2011
158views more  IJON 2011»
14 years 9 months ago
Maximal Discrepancy for Support Vector Machines
Several theoretical methods have been developed in the past years to evaluate the generalization ability of a classifier: they provide extremely useful insights on the learning ph...
Davide Anguita, Alessandro Ghio, Sandro Ridella
108
Voted
SWARM
2010
SPRINGER
154views Optimization» more  SWARM 2010»
15 years 17 days ago
An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
Wei Wang, Pengtao Zhang, Ying Tan
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 7 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
ICANN
2001
Springer
15 years 6 months ago
The Bayesian Committee Support Vector Machine
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
Anton Schwaighofer, Volker Tresp
103
Voted
GRC
2007
IEEE
15 years 4 months ago
Precision and Recall in Rough Support Vector Machines
Abstract— Rough support vector machines (RSVMs) supplement conventional support vector machines (SVMs) by providing a better representation of the boundary region. Increasing int...
Pawan Lingras, Cory J. Butz