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

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 84430.00 T
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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.

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: 121110.00 T
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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.

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: 153720.00 T
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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

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: 139750.00 T
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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

Автор: Le Roux
Название: Combinatorial Inference In Geometri
ISBN: 1498781616 ISBN-13(EAN): 9781498781619
Издательство: Taylor&Francis
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Цена: 112290.00 T
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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.

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: 121110.00 T
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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.

Автор: Matthias Beck, Raman Sanyal
Название: Combinatorial Reciprocity Theorems: An Invitation to Enumerative Geometric Combinatorics
ISBN: 147042200X ISBN-13(EAN): 9781470422004
Издательство: Mare Nostrum (Eurospan)
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Цена: 112860.00 T
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Описание: Combinatorial reciprocity is a very interesting phenomenon, which can be described as follows: A polynomial, whose values at positive integers count combinatorial objects of some sort, may give the number of combinatorial objects of a different sort when evaluated at negative integers (and suitably normalized). Such combinatorial reciprocity theorems occur in connections with graphs, partially ordered sets, polyhedra, and more. Using the combinatorial reciprocity theorems as a leitmotif, this book unfolds central ideas and techniques in enumerative and geometric combinatorics.Written in a friendly writing style, this is an accessible graduate textbook with almost 300 exercises, numerous illustrations, and pointers to the research literature. Topics include concise introductions to partially ordered sets, polyhedral geometry, and rational generating functions, followed by highly original chapters on subdivisions, geometric realizations of partially ordered sets, and hyperplane arrangements.

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: 104500.00 T
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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.

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 92390.00 T
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Автор: Mavrakakis
Название: Modelling, Inference and Data Analysis
ISBN: 158488939X ISBN-13(EAN): 9781584889397
Издательство: Taylor&Francis
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Цена: 132710.00 T
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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.

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: 83850.00 T
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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.

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: 83850.00 T
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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.