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» Efficient implementation of SVM for large class problems
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161
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CVPR
2009
IEEE
16 years 7 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
91
Voted
FLOPS
2004
Springer
15 years 3 months ago
Implementing Natural Rewriting and Narrowing Efficiently
Abstract. Outermost-needed rewriting/narrowing is a sound and complete optimal demand-driven strategy for the class of inductively sequential constructor systems. Its parallel exte...
Santiago Escobar
BMCBI
2004
151views more  BMCBI 2004»
14 years 11 months ago
Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics
Background: The general problem of RNA secondary structure prediction under the widely used thermodynamic model is known to be NP-complete when the structures considered include a...
Jens Reeder, Robert Giegerich
100
Voted
ICML
2008
IEEE
16 years 14 days ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul
ESANN
2006
15 years 1 months ago
Synthesis of maximum margin and multiview learning using unlabeled data
In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
Sándor Szedmák, John Shawe-Taylor