46 search results - page 1 / 10 » Using Error-Correcting Codes for Text Classification |
ICML
2000
IEEE
14 years 5 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...
AI
2010
Springer
13 years 6 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...
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
CHI
2010
ACM
13 years 11 months ago
2010
ACM
Researchers have developed many models to predict and understand human performance in text entry. Most of the models are specific to a technology or fail to account for human fact...
PAMI
2008
13 years 4 months ago
2008
A common way to model multiclass classification problems is by means of Error-Correcting Output Codes (ECOCs). Given a multiclass problem, the ECOC technique designs a code word fo...