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Titlebook: The Nature of Statistical Learning Theory; Vladimir N. Vapnik Book 19951st edition Springer Science+Business Media New York 1995 Statistic

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書目名稱The Nature of Statistical Learning Theory
編輯Vladimir N. Vapnik
視頻videohttp://file.papertrans.cn/915/914611/914611.mp4
圖書封面Titlebook: The Nature of Statistical Learning Theory;  Vladimir N. Vapnik Book 19951st edition Springer Science+Business Media New York 1995 Statistic
描述The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning from the general point of view of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: - the general setting of learning problems and the general model of minimizing the risk functional from empirical data - a comprehensive analysis of the empirical risk minimization principle and shows how this allows for the construction of necessary and sufficient conditions for consistency - non-asymptotic bounds for the risk achieved using the empirical risk minimization principle - principles for controlling the generalization ability of learning machines using small sample sizes - introducing a new type of universal learning machine that controls the generalization ability.
出版日期Book 19951st edition
關(guān)鍵詞Statistica; algorithms; boundary element method; construction; controlling; convergence; function; function
版次1
doihttps://doi.org/10.1007/978-1-4757-2440-0
isbn_ebook978-1-4757-2440-0
copyrightSpringer Science+Business Media New York 1995
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the risk achieved using the empirical risk minimization principle - principles for controlling the generalization ability of learning machines using small sample sizes - introducing a new type of universal learning machine that controls the generalization ability.978-1-4757-2440-0
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s learning from the general point of view of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: - the general setting
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The Fast of Ramadan in Yogyakarta,tion, qualitative evaluation measures were utilized to gauge the participant’s perceived utility of the presentation and activities and their subsequent use in formal education settings. Considering these variables, this chapter will provide data on the differences in knowledge attainment and percei
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