78 search results - page 7 / 16 » Mining concept-drifting data streams using ensemble classifi... |
80
Voted
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
JMLR
2010
14 years 4 months ago
2010
The success of simple methods for classification shows that is is often not necessary to model complex attribute interactions to obtain good classification accuracy on practical p...
77
Voted
KDD
2002
ACM
15 years 10 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...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
102
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CISSE
2008
Springer
14 years 11 months ago
2008
Springer
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...