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» Efficient implementation of SVM for large class problems
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CVPR
2009
IEEE
15 years 2 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
FLOPS
2004
Springer
13 years 11 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»
13 years 7 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
ICML
2008
IEEE
14 years 8 months 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
13 years 8 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