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» Support Vector Regression Machines
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120
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SC
1995
ACM
15 years 7 months ago
Index Array Flattening Through Program Transformation
This paper presents techniques for compiling loops with complex, indirect array accesses into loops whose array references have at most one level of indirection. The transformatio...
Raja Das, Paul Havlak, Joel H. Saltz, Ken Kennedy
147
Voted
EMNLP
2008
15 years 5 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
115
Voted
CANDC
2006
ACM
15 years 3 months ago
Predicting O-glycosylation sites in mammalian proteins by using SVMs
O-glycosylation is one of the most important, frequent and complex post-translational modifications. This modification can activate and affect protein functions. Here, we present ...
Sujun Li, Boshu Liu, Rong Zeng, Yu-Dong Cai, Yixue...
150
Voted
CIARP
2010
Springer
15 years 1 months ago
A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
Emanuele Frandi, Maria Grazia Gasparo, Stefano Lod...
146
Voted
JMLR
2011
110views more  JMLR 2011»
14 years 10 months ago
Training SVMs Without Offset
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
Ingo Steinwart, Don R. Hush, Clint Scovel