23 search results - page 2 / 5 » On Hadamard-Type Output Coding in Multiclass Learning |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
TEC
2008
13 years 7 months ago
2008
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
MCS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. One of the most widely applied techniques to deal with multiclass categorization problems is the pairwise voting procedure. Recently, this classical approach has been emb...
ESANN
2007
13 years 9 months ago
2007
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...