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» Multiclass Posterior Probability Support Vector Machines
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IDEAL
2003
Springer
14 years 7 days ago
On Hadamard-Type Output Coding in Multiclass Learning
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
Aijun Zhang, Zhi-Li Wu, Chun Hung Li, Kai-Tai Fang
PRL
2008
133views more  PRL 2008»
13 years 7 months ago
Better multiclass classification via a margin-optimized single binary problem
We develop a new multiclass classification method that reduces the multiclass problem to a single binary classifier (SBC). Our method constructs the binary problem by embedding sm...
Ran El-Yaniv, Dmitry Pechyony, Elad Yom-Tov
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
13 years 8 months ago
Context-dependent multi-class classification with unknown observation and class distributions with applications to bioinformatic
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Alex S. Baras, John S. Baras
INFORMATICALT
2011
91views more  INFORMATICALT 2011»
13 years 2 months ago
A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies
To set the values of the hyperparameters of a support vector machine (SVM), the method of choice is cross-validation. Several upper bounds on the leave-one-out error of the pattern...
Yann Guermeur, Emmanuel Monfrini
MLMI
2007
Springer
14 years 1 months ago
Posterior-Based Features and Distances in Template Matching for Speech Recognition
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties ...
Guillermo Aradilla, Hervé Bourlard