170 search results - page 6 / 34 » An Effective Combination of Multiple Classifiers for Toxicit... |
ML
2010
ACM
13 years 3 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
ICIAP
1999
ACM
14 years 24 days ago
1999
ACM
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
ALT
2010
Springer
13 years 10 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Several classification scenarios employ multiple independently trained classifiers and the outputs of these classifiers need to be combined. However, since each of the trained ...