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ICML
1996
IEEE
15 years 10 months ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami
CSL
2008
Springer
14 years 9 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
ISI
2008
Springer
14 years 9 months ago
A template alignment algorithm for question classification
Question classification (QC) plays a key role in automated question answering (QA) systems. In Chinese QC, for example, a question is analyzed and then labeled with the question ty...
Cheng-Lung Sung, Min-Yuh Day, Hsu-Chun Yen, Wen-Li...
ICPR
2010
IEEE
14 years 7 months ago
Data Classification on Multiple Manifolds
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
Rui Xiao, Qijun Zhao, David Zhang, Pengfei Shi
ICML
2009
IEEE
15 years 4 months ago
Learning linear dynamical systems without sequence information
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
Tzu-Kuo Huang, Jeff Schneider