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» Training Invariant Support Vector Machines

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ICDM
2009
IEEE

160views Data Mining» more ICDM 2009»

Fast Online Training of Ramp Loss Support Vector Machines

14 years 2 months ago

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—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...

Zhuang Wang, Slobodan Vucetic

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ICPR
2008
IEEE

182views Computer Vision» more ICPR 2008»

Fast model selection for MaxMinOver-based training of support vector machines

14 years 1 months ago

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OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classiﬁcation. We propose several enhancements and heuristics for improving model select...

Fabian Timm, Sascha Klement, Thomas Martinetz

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ACL
2011

207views Computational Linguistics» more ACL 2011»

Joint Training of Dependency Parsing Filters through Latent Support Vector Machines

12 years 11 months ago

Download www.clsp.jhu.edu

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

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PKDD
2009
Springer

132views Data Mining» more PKDD 2009»

Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines

14 years 1 months ago

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Sangkyun Lee, Stephen J. Wright

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