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Rank-Deficient and Discrete Ill-Posed Problems, Hansen



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Автор: Hansen   (Хансен)
Название:  Rank-Deficient and Discrete Ill-Posed Problems
Перевод названия: Хансен: Ранговые и дискретные некорректные задачи
ISBN: 9780898714036
Издательство: Eurospan
Классификация:
ISBN-10: 0898714036
Обложка/Формат: Paperback
Страницы: 263
Вес: 0.454 кг.
Дата издания: 01.12.1997
Серия: Monographs on Mathematical Modeling and Computation, 4
Иллюстрации: Figs.
Размер: 182 x 253 x 15
Читательская аудитория: Professional & vocational
Основная тема: Computer science
Подзаголовок: Numerical Aspects of Linear Inversion
Ссылка на Издательство: Link
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Поставляется из: Англии



Rigidity in Higher Rank Abelian Group Actions

Автор: Katok
Название: Rigidity in Higher Rank Abelian Group Actions
ISBN: 0521879094 ISBN-13(EAN): 9780521879095
Издательство: Cambridge Academ
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Цена: 18076 р.
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Описание: Ideal for researchers in all aspects of dynamical systems and a useful introduction for graduate students entering the field.

Nonparametric Hypothesis Testing - Rank and Permutation Methods with Applications in R

Автор: Bonnini
Название: Nonparametric Hypothesis Testing - Rank and Permutation Methods with Applications in R
ISBN: 1119952379 ISBN-13(EAN): 9781119952374
Издательство: Wiley
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Цена: 11026 р.
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Описание: A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences.

Learning to Rank for Information Retrieval

Автор: Liu
Название: Learning to Rank for Information Retrieval
ISBN: 3642142664 ISBN-13(EAN): 9783642142666
Издательство: Springer
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Цена: 16334 р.
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Описание: Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people. The ranker, a central component in every search engine, is responsible for the matching between processed queries and indexed documents. Because of its central role, great attention has been paid to the research and development of ranking technologies. In addition, ranking is also pivotal for many other information retrieval applications, such as collaborative filtering, definition ranking, question answering, multimedia retrieval, text summarization, and online advertisement. Leveraging machine learning technologies in the ranking process has led to innovative and more effective ranking models, and eventually to a completely new research area called “learning to rank”. Liu first gives a comprehensive review of the major approaches to learning to rank. For each approach he presents the basic framework, with example algorithms, and he discusses its advantages and disadvantages. He continues with some recent advances in learning to rank that cannot be simply categorized into the three major approaches – these include relational ranking, query-dependent ranking, transfer ranking, and semisupervised ranking. His presentation is completed by several examples that apply these technologies to solve real information retrieval problems, and by theoretical discussions on guarantees for ranking performance. This book is written for researchers and graduate students in both information retrieval and machine learning. They will find here the only comprehensive description of the state of the art in a field that has driven the recent advances in search engine development.

Non-Standard and Improperly Posed Problems,

Автор: William F. Ames
Название: Non-Standard and Improperly Posed Problems,
ISBN: 0120567458 ISBN-13(EAN): 9780120567454
Издательство: Elsevier Science
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Цена: 25245 р.
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Описание: Provides an overview of the methodology typically used to study improperly posed problems. This book addresses continuous dependence on initial-time and spatial geometry and on modeling backward and forward in time. It covers non-standard or non-characteristic problems, and also presents other relevant improperly posed problems.

Theory of Rank Tests,

Автор: Zbynek Sidak
Название: Theory of Rank Tests,
ISBN: 0126423504 ISBN-13(EAN): 9780126423501
Издательство: Elsevier Science
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Цена: 14100 р.
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Описание: Aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. This edition includes topics such as asymptotic methods, nonparametrics, convergence of probability measures, statistical inference, and others.

Robust Rank-Based and Nonparametric Methods

Автор: Liu
Название: Robust Rank-Based and Nonparametric Methods
ISBN: 3319390635 ISBN-13(EAN): 9783319390635
Издательство: Springer
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Цена: 16334 р.
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Описание: The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015.

Low Rank Approximation

Автор: Ivan Markovsky
Название: Low Rank Approximation
ISBN: 1447158369 ISBN-13(EAN): 9781447158363
Издательство: Springer
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Цена: 16653 р.
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Описание: This book details the theory, algorithms, and applications of structured low-rank approximation, and presents efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel and Sylvester structured problems and more.

Linear Operators and Ill-Posed Problems

Автор: Lavrent`ev
Название: Linear Operators and Ill-Posed Problems
ISBN: 0306110350 ISBN-13(EAN): 9780306110351
Издательство: Springer
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Цена: 31037 р.
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Описание: Integrating the ill-posed problem theory and its underlying mathematical apparatus, this work includes descriptions of the results and a presentation of actual applications of the ill-posed problem theory. It also deals with the mathematical physics connected to integral equations of the first type, and with the bases of operator equation theory.


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