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BMCBI
2011
13 years 1 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
PAMI
2006
93views more  PAMI 2006»
13 years 6 months ago
Improving Multiclass Pattern Recognition by the Combination of Two Strategies
We present a new method of multiclass classification based on the combination of one-vs-all method and a modification of one-vs-one method. This combination of one-vs-all and one-v...
Nicolás García-Pedrajas, Domingo Ort...
PRL
2008
133views more  PRL 2008»
13 years 6 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
ICWSM
2008
13 years 8 months ago
An Automatic Classification of Book Texts to User-Defined Tags
We describe work on automatically assigning labels to books using user-defined tags as the label set. Using supervised learning and exploring both binary and multiclass classifica...
Sharon Givon, Theresa Wilson
ACCV
2006
Springer
13 years 8 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
ANNPR
2006
Springer
13 years 10 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
ICML
2008
IEEE
14 years 7 months ago
Cost-sensitive multi-class classification from probability estimates
For two-class classification, it is common to classify by setting a threshold on class probability estimates, where the threshold is determined by ROC curve analysis. An analog fo...
Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray