337 search results - page 3 / 68 » Combination of Multiple Classifiers Using Local Accuracy Est... |
KES
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...
99
Voted
MCS
2000
Springer
15 years 1 months ago
2000
Springer
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
88
Voted
ADBIS
2003
Springer
15 years 2 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
101
Voted
PAKDD
2000
ACM
15 years 1 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...