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» Linear programming with online learning
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ICML
2008
IEEE
14 years 9 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
CORR
2007
Springer
126views Education» more  CORR 2007»
13 years 8 months ago
Linear Tabling Strategies and Optimizations
Recently there has been a growing interest of research in tabling in the logic programming community because of its usefulness in a variety of application domains including progra...
Neng-Fa Zhou, Taisuke Sato, Yi-Dong Shen
ICML
2007
IEEE
14 years 9 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
WEBNET
2000
13 years 10 months ago
How the Wild Wide Web was Won: Online Web Developer Training
: As the Web grows in importance in institutional settings, so does the need for training. Universities are looking at the daunting task of putting more information and services on...
John Sharkey, Kitzzy Aviles, Barbara Ferguson
SODA
2008
ACM
77views Algorithms» more  SODA 2008»
13 years 10 months ago
Online make-to-order joint replenishment model: primal dual competitive algorithms
In this paper, we study an online make-to-order variant of the classical joint replenishment problem (JRP) that has been studied extensively over the years and plays a fundamental...
Niv Buchbinder, Tracy Kimbrel, Retsef Levi, Konsta...