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Titlebook: Learning Theory; 18th Annual Conferen Peter Auer,Ron Meir Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 2005 Boosting.Suppo

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書目名稱Learning Theory
副標(biāo)題18th Annual Conferen
編輯Peter Auer,Ron Meir
視頻videohttp://file.papertrans.cn/583/582822/582822.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Learning Theory; 18th Annual Conferen Peter Auer,Ron Meir Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 2005 Boosting.Suppo
描述This volume contains papers presented at the Eighteenth Annual Conference on Learning Theory (previously known as the Conference on Computational Learning Theory) held in Bertinoro, Italy from June 27 to 30, 2005. The technical program contained 45 papers selected from 120 submissions, 3 open problems selected from among 5 contributed, and 2 invited lectures. The invited lectures were given by Sergiu Hart on “Uncoupled Dynamics and Nash Equilibrium”, and by Satinder Singh on “Rethinking State, Action, and Reward in Reinforcement Learning”. These papers were not 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 Hadi Salmasian for the paper titled “The Spectral Method for General Mixture Models” co-authored with Ravindran Kannan and Santosh Vempala. The number of papers submitted to COLT this year was exceptionally high. In addition to the classical COLT topics, we found an increase in the number of submissions related to novel classi?cation scenarios such as ranking. This - crease re?ects a healthy shift towards more structured classi?cation problems, which are becoming increasingly rele
出版日期Conference proceedings 2005
關(guān)鍵詞Boosting; Support Vector Machine; classification; game theory; learning; learning theory; supervised learn
版次1
doihttps://doi.org/10.1007/b137542
isbn_softcover978-3-540-26556-6
isbn_ebook978-3-540-31892-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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András Gy?rgy,Tamás Linder,Gábor Lugosiion-making.Reviews the similarities and differences of modelThis classroom-texted textbook/reference presents a set of useful modeling techniques, describing how these can be combined into a powerful framework for the analysis and design of business systems. These techniques follow an interactive mo
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Baruch Awerbuch,Robert D. Kleinbergion-making.Reviews the similarities and differences of modelThis classroom-texted textbook/reference presents a set of useful modeling techniques, describing how these can be combined into a powerful framework for the analysis and design of business systems. These techniques follow an interactive mo
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Shai Shalev-Shwartz,Yoram Singereved without communication of parties. Communication is inherently nondeterministic as it depends on the communication infrastructure. Therefore, modeling of communication is supported with a specific abstraction, which restricts the nondeterminism of communication. This chapter presents two forms o
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Ranking and Scoring Using Empirical Risk Minimization the ranking risk. The empirical estimates are of the form of a .-statistic. Inequalities from the theory of .-statistics and .-processes are used to obtain performance bounds for the empirical risk minimizers. Convex risk minimization methods are also studied to give a theoretical framework for ran
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