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Combinatorial inference in geometric data analysis, Bienaise, Solene (coheris Spad, Suresnes, France) Durand, Jean-luc (universite Paris 13, Villetaneuse, France) Le Roux, Brigitte (map5 - Universite Pa


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Автор: Bienaise, Solene (coheris Spad, Suresnes, France) Durand, Jean-luc (universite Paris 13, Villetaneuse, France) Le Roux, Brigitte (map5 - Universite Pa
Название:  Combinatorial inference in geometric data analysis
ISBN: 9781032093734
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1032093730
Обложка/Формат: Paperback
Страницы: 268
Вес: 0.41 кг.
Дата издания: 30.06.2021
Серия: Chapman & hall/crc computer science & data analysis
Язык: English
Иллюстрации: 145 illustrations, black and white
Размер: 155 x 232 x 37
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial fr


Statistical Analysis with Missing Data, Third Edit ion

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Branch-and-Bound Applications in Combinatorial Data Analysis

Автор: Michael J. Brusco; Stephanie Stahl
Название: Branch-and-Bound Applications in Combinatorial Data Analysis
ISBN: 1441920390 ISBN-13(EAN): 9781441920393
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Supplementary material, such as computer programs, are provided on the world wide web.Dr. Brusco is an editorial board member for the Journal of Classification, and a member of the Board of Directors for the Classification Society of North America.

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Автор: Isra?l C?sar Lerman
Название: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
ISBN: 1447167910 ISBN-13(EAN): 9781447167914
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Preface.- On Some Facets of the Partition Set of a Finite Set.- Two Methods of Non-hierarchical Clustering.- Structure and Mathematical Representation of Data.- Ordinal and Metrical Analysis of the Resemblance Notion.- Comparing Attributes by a Probabilistic and Statistical Association I.- Comparing Attributes by a Probabilistic and Statistical Association II.- Comparing Objects or Categories Described by Attributes.- The Notion of "Natural" Class, Tools for its Interpretation. The Classifiability Concept.- Quality Measures in Clustering.- Building a Classification Tree.- Applying the LLA Method to Real Data.- Conclusion and Thoughts for Future Works

Combinatorial Inference In Geometri

Автор: Le Roux
Название: Combinatorial Inference In Geometri
ISBN: 1498781616 ISBN-13(EAN): 9781498781619
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework.

Modelling, Inference and Data Analysis

Автор: Mavrakakis
Название: Modelling, Inference and Data Analysis
ISBN: 158488939X ISBN-13(EAN): 9781584889397
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: Covers aspects of probability, distribution theory and random processes that are fundamental to a proper understanding of inference. This book discusses the properties of estimators constructed from a random sample of ends, with sections on methods for estimating parameters in time series models.

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Автор: Lerman Israлl Cйsar
Название: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
ISBN: 1447173929 ISBN-13(EAN): 9781447173922
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Preface.- On Some Facets of the Partition Set of a Finite Set.- Two Methods of Non-hierarchical Clustering.- Structure and Mathematical Representation of Data.- Ordinal and Metrical Analysis of the Resemblance Notion.- Comparing Attributes by a Probabilistic and Statistical Association I.- Comparing Attributes by a Probabilistic and Statistical Association II.- Comparing Objects or Categories Described by Attributes.- The Notion of "Natural" Class, Tools for its Interpretation. The Classifiability Concept.- Quality Measures in Clustering.- Building a Classification Tree.- Applying the LLA Method to Real Data.- Conclusion and Thoughts for Future Works

Geometric Algorithms and Combinatorial Optimization

Автор: Martin Gr?tschel; Laszlo Lovasz; Alexander Schrijv
Название: Geometric Algorithms and Combinatorial Optimization
ISBN: 3642782426 ISBN-13(EAN): 9783642782428
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Moreover, despite the success of the interior point methods for the solution of explicitly given linear programs there is still no method known that solves implicitly given linear programs, such as those described in this book, and that is both practically and theoretically efficient.

Sampling in Combinatorial and Geometric Set Systems

Автор: Nabil H. Mustafa
Название: Sampling in Combinatorial and Geometric Set Systems
ISBN: 1470461560 ISBN-13(EAN): 9781470461560
Издательство: Mare Nostrum (Eurospan)
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Цена: 15675.00 р.
Наличие на складе: Нет в наличии.

Описание: Understanding the behavior of basic sampling techniques and intrinsic geometric attributes of data is an invaluable skill that is in high demand for both graduate students and researchers in mathematics, machine learning, and theoretical computer science. The last ten years have seen significant progress in this area, with many open problems having been resolved during this time. These include optimal lower bounds for epsilon-nets for many geometric set systems, the use of shallow-cell complexity to unify proofs, simpler and more efficient algorithms, and the use of epsilon-approximations for construction of coresets, to name a few. This book presents a thorough treatment of these probabilistic, combinatorial, and geometric methods, as well as their combinatorial and algorithmic applications. It also revisits classical results, but with new and more elegant proofs. While mathematical maturity will certainly help in appreciating the ideas presented here, only a basic familiarity with discrete mathematics, probability, and combinatorics is required to understand the material.

Combinatorial Image Analysis

Автор: Ralf Reulke; Ulrich Eckardt; Boris Flach; Uwe Knau
Название: Combinatorial Image Analysis
ISBN: 3540351531 ISBN-13(EAN): 9783540351535
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Constitutes the refereed proceedings of the 11th International Workshop on Combinatorial Image Analysis, IWCIA 2006, held in Berlin, June 2006. This book covers topics including combinatorial image analysis; grammars and models for analysis and recognition of scenes and images; and combinatorial topology and geometry for images.

Combinatorial Image Analysis

Автор: Valentin E. Brimkov; Reneta P. Barneva; Herbert A.
Название: Combinatorial Image Analysis
ISBN: 3540782745 ISBN-13(EAN): 9783540782742
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This volume contains the proceedings of the 12th International Workshop on Combinatorial Image Analysis. Coverage includes digital geometry, curves and surfaces, applications of computational geometry, as well as medical imaging and biometrics.

Probabilistic Methods in Combinatorial Analysis

Автор: Vladimir N. Sachkov , Translated by V. A. Vatutin
Название: Probabilistic Methods in Combinatorial Analysis
ISBN: 052145512X ISBN-13(EAN): 9780521455121
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: This 1997 work explores the role of probabilistic methods for solving combinatorial problems. The author pays special attention to using these methods to obtain asymptotic formulae. This was an important book, describing many ideas not previously available in English; the author has taken the chance to rewrite parts of the text and refresh the references where appropriate.

Introduction to combinatorial analysis

Автор: Riordan, John
Название: Introduction to combinatorial analysis
ISBN: 0691643253 ISBN-13(EAN): 9780691643250
Издательство: Wiley
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Цена: 18691.00 р.
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Описание:

This book introduces combinatorial analysis to the beginning student. The author begins with the theory of permutation and combinations and their applications to generating functions. In subsequent chapters, he presents Bell polynomials; the principle of inclusion and exclusion; the enumeration of permutations in cyclic representation; the theory of distributions; partitions, compositions, trees and linear graphs; and the enumeration of restricted permutations.

Originally published in 1980.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.


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