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» Ellipsoidal Support Vector Machines
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NCA
2008
IEEE
15 years 1 months ago
Polynomial kernel adaptation and extensions to the SVM classifier learning
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
Ramy Saad, Saman K. Halgamuge, Jason Li
IJCNLP
2005
Springer
15 years 7 months ago
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
Daisuke Okanohara, Jun-ichi Tsujii
130
Voted
CEAS
2011
Springer
14 years 1 months ago
Blocking spam by separating end-user machines from legitimate mail server machines
Spamming botnets present a critical challenge in the control of spam messages due to the sheer volume and wide spread of the botnet members. In this paper we advocate the approach...
Fernando Sanchez, Zhenhai Duan, Yingfei Dong
JCB
2000
107views more  JCB 2000»
15 years 1 months ago
A Discriminative Framework for Detecting Remote Protein Homologies
A new method for detecting remote protein homologies is introduced and shown to perform well in classifying protein domains by SCOP superfamily. The method is a variant of support...
Tommi Jaakkola, Mark Diekhans, David Haussler
ISCI
2008
165views more  ISCI 2008»
15 years 1 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...