Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Humberto Bustince; Francisco Herrera; Javier Monte
Автор: Humberto Bustince; Francisco Herrera; Javier Monte Название: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models ISBN: 3540737227 ISBN-13(EAN): 9783540737223 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents research in the use of fuzzy sets and their extensions. This book focuses on foundation issues and on their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. It features chapters that include four review papers introducing some non-standard representations.
Автор: Mclachlan, Geoffrey J. Krishnan, Thriyambakam Название: Em algorithm and extensions ISBN: 0471201707 ISBN-13(EAN): 9780471201700 Издательство: Wiley Рейтинг: Цена: 20901.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since its inception in 1977, the Expectation-Maximization (EM) algorithm has been the subject of intense scrutiny, dozens of applications, numerous extensions, and thousands of publications. The algorithm and its extensions are now standard tools applied to incomplete data problems in virtually every field in which statistical methods are used.
Описание: This volume fills the gap in protein review and protocal literature while summarizing recent achievements in the understanding of the relationships between protein misfoldings, aggregation, and development of protein deposition disorders. It is devoted to the general questions of conformational disorders and includes discussion of involvement of such common factors as molecular chaperones, oxidative damage, proteasome, glycosoaminoglycans, serum amyloid protein P and several others in the development of different disorders. Some experimental techniques applicable for the visualization of protein deposition in vivo and in vitro are also present.
This book reviews current research on the important processes involved in neurodegenerative diseases (e.g. Alzheimer's disease) and the peptides and proteins involved in the amyloidogenic processes. It covers the design and developments of anti-amyloid inhibitors, and gives readers a fundamental understanding of the underlying oligomerization and aggregation processes of these diseases from both computational and experimental points of view.
Автор: Green H. a. John Название: Aggregation in Economic Analysis ISBN: 0691624917 ISBN-13(EAN): 9780691624914 Издательство: Wiley Рейтинг: Цена: 4752.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Professor Green discusses the definition of consistent aggregation and the problem of grouping variables in a single equation; he deals with the aggregation of equations and the probable errors; and summarizes, with reference to the text, the considerations involved in selecting an appropriate form of aggregation. The author`s survey presents a wel
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
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