91 search results - page 2 / 19 » Using output codes to boost multiclass learning problems |
COLT
1999
Springer
13 years 9 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...
TEC
2008
13 years 4 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
13 years 3 months ago
2010
IEEE
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
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...
IDEAL
2003
Springer
13 years 10 months ago
2003
Springer
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...