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Learning Theory - 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings (Paperback, 2007 ed.)
Nader Bshouty, Claudio Gentile
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R3,069
Discovery Miles 30 690
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Ships in 10 - 15 working days
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This volumecontains paperspresentedatthe 20thAnnualConferenceonLea-
ing Theory (previously known as the Conference on Computational
Learning Theory) held in San Diego, USA, June 13-15, 2007, as part
of the 2007 Fed- ated Computing Research Conference (FCRC). The
Technical Program contained 41 papers selected from 92 submissions,
5 open problems selected from among 7 contributed, and 2 invited
lectures. The invited lectures were givenby Dana Ron on
PropertyTesting: A Learning T- oryPerspective,
andbySantoshVempalaon SpectralAlgorithmsforLearning and Clustering.
The abstracts of these lectures are included in this volume. The
Mark Fulk Award is presented annually for the best paper
co-authored by a student. The student selected this year was Samuel
E. Moelius III for the paper U-Shaped, Iterative, and
Iterative-with-Counter Learning co-authored with John Case. This
year, student awards were also granted by the Machine
LearningJournal.Wehavethereforebeenabletoselecttwomorestudentpapers
forprizes.Thestudents selectedwereLev Reyzinforthe paper
LearningLarge- Alphabet and Analog Circuits with Value Injection
Queries (co-authored with Dana Angluin, James Aspnes, and Jiang
Chen), and Jennifer Wortman for the paper Regret to the Best vs.
Regret to the Average (co-authored with Eyal Even-Dar, Michael
Kearns, and Yishay Mansour). The selected papers cover a wide range
of topics, including unsupervised, semisupervisedand
activelearning, statistical learningtheory, regularizedlea- ing,
kernel methods and SVM, inductive inference, learning algorithms
and l- itations on learning, on-line and reinforcement learning.
The last topic is part- ularly well represented, covering alone
more than one-fourth of the total."
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