661 search results - page 66 / 133 » Generalized clustering, supervised learning, and data assign... |
121
Voted
CIKM
2011
Springer
14 years 3 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
141
Voted
HIS
2004
15 years 5 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
157
Voted
COLT
2003
Springer
15 years 8 months ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ...
139
Voted
SDM
2009
SIAM
16 years 22 days ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
131
Voted
IEEEVAST
2010
14 years 10 months ago
2010
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...