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» Predicting Time Series with Support Vector Machines
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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 7 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
ICDM
2005
IEEE
135views Data Mining» more  ICDM 2005»
14 years 1 months ago
Bit Reduction Support Vector Machine
Abstract— Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of s...
Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, And...
BIBM
2008
IEEE
137views Bioinformatics» more  BIBM 2008»
14 years 1 months ago
Exploring Alternative Splicing Features Using Support Vector Machines
Alternative splicing is a mechanism for generating different gene transcripts (called isoforms) from the same genomic sequence. Finding alternative splicing events experimentally ...
Jing Xia, Doina Caragea, Susan Brown
IJNSEC
2006
112views more  IJNSEC 2006»
13 years 7 months ago
An Access Control System with Time-constraint Using Support Vector Machines
Access control is an important issue in information security. It is a necessary mechanism for protecting data in a computer system. In this paper, we apply support vector machines...
Chin-Chen Chang, Iuon-Chang Lin, Chia-Te Liao
ICML
2005
IEEE
14 years 8 months ago
A support vector method for multivariate performance measures
This paper presents a Support Vector Method for optimizing multivariate nonlinear performance measures like the F1score. Taking a multivariate prediction approach, we give an algo...
Thorsten Joachims