408 search results - page 5 / 82 » Learning Preferences for Multiclass Problems |
COLT
1999
Springer
13 years 12 months ago
1999
Springer
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
ML
2007
ACM
13 years 7 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
ACCV
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
COLT
2001
Springer
14 years 6 days ago
2001
Springer
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
AICCSA
2006
IEEE
14 years 1 months ago
2006
IEEE
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...