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Learning Theory and Kernel Machines
Bernhard Sch Lkopf
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Description for Learning Theory and Kernel Machines
Paperback. Series: Lecture Notes in Computer Science. Num Pages: 768 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 38. Weight in Grams: 1057.
This volume contains papers presented at the joint 16th Annual Conference on Learning Theory (COLT) and the 7th Annual Workshop on Kernel Machines, heldinWashington,DC,USA,duringAugust24-27,2003.COLT,whichrecently merged with EuroCOLT, has traditionally been a meeting place for learning theorists. We hope that COLT will bene?t from the collocation with the annual workshoponkernelmachines,formerlyheldasaNIPSpostconferenceworkshop. The technical program contained 47 papers selected from 92 submissions. All 47paperswerepresentedasposters;22ofthepaperswereadditionallypresented astalks.Therewerealsotwotargetareaswithinvitedcontributions.Incompu- tional game theory,atutorialentitled"LearningTopicsinGame-TheoreticDe- sionMaking"wasgivenbyMichaelLittman,andaninvitedpaperon"AGeneral Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria" was contributed by Amy Greenwald. In natural language processing, a tutorial on "Machine Learning Methods in Natural Language Processing" was presented by Michael Collins, followed by ... Read more
This volume contains papers presented at the joint 16th Annual Conference on Learning Theory (COLT) and the 7th Annual Workshop on Kernel Machines, heldinWashington,DC,USA,duringAugust24-27,2003.COLT,whichrecently merged with EuroCOLT, has traditionally been a meeting place for learning theorists. We hope that COLT will bene?t from the collocation with the annual workshoponkernelmachines,formerlyheldasaNIPSpostconferenceworkshop. The technical program contained 47 papers selected from 92 submissions. All 47paperswerepresentedasposters;22ofthepaperswereadditionallypresented astalks.Therewerealsotwotargetareaswithinvitedcontributions.Incompu- tional game theory,atutorialentitled"LearningTopicsinGame-TheoreticDe- sionMaking"wasgivenbyMichaelLittman,andaninvitedpaperon"AGeneral Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria" was contributed by Amy Greenwald. In natural language processing, a tutorial on "Machine Learning Methods in Natural Language Processing" was presented by Michael Collins, followed by ... Read more
Product Details
Format
Paperback
Publication date
2003
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
768
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
754
Place of Publication
Berlin, Germany
ISBN
9783540407201
SKU
V9783540407201
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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