2898 search results - page 24 / 580 » Ensemble Methods in Machine Learning |
ICAPR
2009
Springer
14 years 2 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
PRL
1998
13 years 7 months ago
1998
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
ICTAI
2008
IEEE
14 years 2 months ago
2008
IEEE
We present a new ensemble learning method that employs a set of regional classifiers, each of which learns to handle a subset of the training data. We split the training data and ...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...