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117
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NIPS
1996
15 years 3 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
134
Voted
ICML
2006
IEEE
15 years 8 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
121
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ICDM
2002
IEEE
15 years 7 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
108
Voted
ISCAS
2005
IEEE
15 years 7 months ago
2005
IEEE
—Support Vector Machines are emerging as a powerful machine-learning tool. Logarithmic Number Systems (LNS) utilize the property of logarithmic compression for numerical operatio...
111
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MICCAI
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...