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Titlebook: Measures of Complexity; Festschrift for Alex Vladimir Vovk,Harris Papadopoulos,Alexander Gammer Book 2015 Springer International Publishing

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书目名称Measures of Complexity
副标题Festschrift for Alex
编辑Vladimir Vovk,Harris Papadopoulos,Alexander Gammer
视频video
概述Alexey Chervonenkis made an outstanding contribution to the areas of pattern recognition and computational learning.Valuable for researchers and graduate students.Contributors are leading scientists i
图书封面Titlebook: Measures of Complexity; Festschrift for Alex Vladimir Vovk,Harris Papadopoulos,Alexander Gammer Book 2015 Springer International Publishing
描述.This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical contributions in the areas of machine learning, statistical inference, classification, algorithmic statistics, and pattern recognition. .The contributors are leading scientists in domains such as statistics, mathematics, and theoretical computer science, and the book will be of interest to researchers and graduate students in these domains..
出版日期Book 2015
关键词Algorithmic statistics; Bayesian theory; Causal inference; Communicaton complexity; Computational comple
版次1
doihttps://doi.org/10.1007/978-3-319-21852-6
isbn_softcover978-3-319-35778-2
isbn_ebook978-3-319-21852-6
copyrightSpringer International Publishing Switzerland 2015
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Institute of Control Sciences Through the Lens of VC Dimensionand the main directions of their work against the background of everyday life of the Institute, and the beginning of the Institute’s studies in the field of pattern recognition. It also provides a brief summary of VC theory in machine learning. Personal observations of the author accompany the story
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Predictive Complexity for Games with Finite Outcome Spacesf a sequence in a particular prediction environment. This chapter surveys key results on predictive complexity for games with finitely many outcomes. The issues of existence, non-existence, uniqueness, and linear inequalities are covered.
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Classes of Functions Related to VC Propertieseorems for empirical measures can be proved uniformly over such classes. Specific such classes on Euclidean spaces can be used to show the existence of location vector and scatter matrix functionals, replacing mean vectors and covariance matrices, but on classes of probability measures . that are we
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