JOURNAL ARTICLE
Unconstrained Transductive Support Vector Machines
Abstract
Support vector machines have been extensively used in machine learning because of its efficiency and its theoretical background. This paper focuses on transductive support vector machines (TSVM) for classification and construct a new algorithm - unconstrained transductive support vector machines (UTSVM). After researching on the special construction of primal problem in TSVM, we transform it to an unconstrained problem and then smooth the derived problem in order to apply usual optimization methods.
Keywords:
Support vector machine Construct (python library) Computer science Artificial intelligence Relevance vector machine Transduction (biophysics) Machine learning Structured support vector machine Sequential minimal optimization Algorithm Mathematical optimization Pattern recognition (psychology) Mathematics
Metrics
3
Cited By
1.70
FWCI (Field Weighted Citation Impact)
12
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Advanced Algorithms and Applications
Physical Sciences → Engineering → Control and Systems Engineering
Industrial Technology and Control Systems
Physical Sciences → Engineering → Control and Systems Engineering
Neural Networks and Applications
Physical Sciences → Computer Science → Artificial Intelligence
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Unconstrained transductive Support Vector Machines and its application
Yingjie TianYunchuan SunChuanliang ChenZhan Zhang
Year: 2008 Pages: 137-141