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» Incremental Training of Multiclass Support Vector Machines
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KDD
2008
ACM
167views Data Mining» more  KDD 2008»
15 years 9 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
ICML
2003
IEEE
15 years 10 months ago
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Ha...
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JMLR
2010
185views more  JMLR 2010»
14 years 4 months ago
Multiple Kernel Learning on the Limit Order Book
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
Tristan Fletcher, Zakria Hussain, John Shawe-Taylo...
DAGM
2004
Springer
15 years 1 months ago
MinOver Revisited for Incremental Support-Vector-Classification
The well-known and very simple MinOver algorithm is reformulated for incremental support vector classification with and without kernels. A modified proof for its O(t-1/2 ) converge...
Thomas Martinetz
NAACL
2003
14 years 10 months ago
Target Word Detection and Semantic Role Chunking using Support Vector Machines
In this paper, the automatic labeling of semantic roles in a sentence is considered as a chunking task. We define a semantic chunk as the sequence of words that fills a semantic...
Kadri Hacioglu, Wayne Ward