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» TRUST-TECH based Methods for Optimization and Learning
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93
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WAIM
2004
Springer
15 years 8 months ago
Learning-Based Top-N Selection Query Evaluation over Relational Databases
A top-N selection query against a relation is to find the N tuples that satisfy the query condition the best but not necessarily completely. In this paper, we propose a new method ...
Liang Zhu, Weiyi Meng
129
Voted
ICMLA
2009
15 years 8 days ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
127
Voted
ICML
2009
IEEE
15 years 9 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
130
Voted
BICOB
2010
Springer
15 years 17 days ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
ICPR
2008
IEEE
15 years 9 months ago
Augment document image binarization by learning
Conventional Binarization methods try to obtain optimal results based on the single image only. They make distinct diversity of binarization quality sometimes even for images of t...
Yuanping Zhu