114 search results - page 9 / 23 » Error Rejection in Linearly Combined Multiple Classifiers |
IJCAI
2003
13 years 9 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
PR
2008
13 years 7 months ago
2008
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. In the biometric field, different experts are combined to improve the system reliability, as in many application the performance attained by individual experts (i.e., d...
CSB
2004
IEEE
13 years 11 months ago
2004
IEEE
We propose a novel technique for automatically generating the SCOP classification of a protein structure with high accuracy. High accuracy is achieved by combining the decisions o...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...