9 search results - page 1 / 2 » Improving Multiclass Text Classification with Error-Correcti... |
140
Voted
AI
2010
Springer
15 years 4 months ago
2010
Springer
Error-Correcting Output Coding (ECOC) is a general framework for multiclass text classification with a set of binary classifiers. It can not only help a binary classifier solve mul...
146
Voted
PAMI
2010
15 years 28 days ago
2010
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
118
Voted
ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
140
Voted
ICIAP
2009
ACM
16 years 3 months ago
2009
ACM
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
143
Voted
ICML
2005
IEEE
16 years 3 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...