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» Guarantees for Approximate Incremental SVMs
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JMLR
2010
97views more  JMLR 2010»
13 years 5 months ago
Guarantees for Approximate Incremental SVMs
Nicolas Usunier, Antoine Bordes, Léon Botto...
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 11 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
ICML
2007
IEEE
14 years 11 months ago
Approximate maximum margin algorithms with rules controlled by the number of mistakes
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Petroula Tsampouka, John Shawe-Taylor
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
14 years 8 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
SADM
2010
128views more  SADM 2010»
13 years 9 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic