Twin Support Vector Machines: Models, Extensions and Applications, Jayadeva, Khemchandani Reshma, Chandra Suresh

Автор: Gou Xunjie, Xu Zeshui
Название: Double Hierarchy Linguistic Term Set and Its Extensions: Theory and Applications
ISBN: 303051319X ISBN-13(EAN): 9783030513191
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications.

Автор: Mishra Akansha, Kumar Amit
Название: Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems
ISBN: 9811569975 ISBN-13(EAN): 9789811569975
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions. (2) recently proposed methods for solving transportation problems under the fuzzy environment; and (3) recently proposed methods for solving transportation problems under the intuitionistic fuzzy environment.

Автор: Hassan AbouEisha; Talha Amin; Igor Chikalov; Shahi
Название: Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
ISBN: 3030063097 ISBN-13(EAN): 9783030063092
Издательство: Springer
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Цена: 130430.00 T
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Описание: Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.

Автор: AbouEisha
Название: Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
ISBN: 3319918389 ISBN-13(EAN): 9783319918389
Издательство: Springer
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Цена: 93160.00 T
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Описание: Dynamic programming is an efficient technique for solving optimization problems. and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths.

Автор: Peter Schroeder-Heister
Название: Extensions of Logic Programming
ISBN: 354053590X ISBN-13(EAN): 9783540535904
Издательство: Springer
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Цена: 74530.00 T
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Описание: This volume contains papers presented at an international workshop. It gives an overview of various approaches to extending logic programming, concentrating on proof-theoretic extensions developed recently, which put a new emphasis on hypothetical reasoning.

Автор: Krassimir T. Atanassov; Janusz Kacprzyk; Andrzej K
Название: Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications
ISBN: 3319655442 ISBN-13(EAN): 9783319655444
Издательство: Springer
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Цена: 186330.00 T
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Описание: and the Fifteenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2016, one of the foremost conferences on fuzzy logic, notably addressing extensions of the traditional fuzzy sets, as well as the Generalized Nets (GNs), a powerful extension of the traditional Petri net paradigm.

Автор: Jayadeva; Reshma Khemchandani; Suresh Chandra
Название: Twin Support Vector Machines
ISBN: 3319461842 ISBN-13(EAN): 9783319461847
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.

Автор: Joachim Diederich
Название: Rule Extraction from Support Vector Machines
ISBN: 3642094635 ISBN-13(EAN): 9783642094637
Издательство: Springer
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Цена: 130590.00 T
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Описание: Support vector machines (SVMs) are one of the most active research areas in machine learning. For SVMs to gain a wider degree of acceptance in fields such as medical diagnosis and security sensitive areas, it is desirable to offer an explanation capability.

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319382438 ISBN-13(EAN): 9783319382432
Издательство: Springer
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Цена: 104480.00 T
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319069403 ISBN-13(EAN): 9783319069401
Издательство: Springer
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Цена: 121890.00 T
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

Автор: Ingo Steinwart; Andreas Christmann
Название: Support Vector Machines
ISBN: 1489989633 ISBN-13(EAN): 9781489989635
Издательство: Springer
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Цена: 139750.00 T
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Описание: In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and last but not least their computational e?ciency compared with several other methods.

Автор: Colin Campbell, Ying Yiming
Название: Learning with Support Vector Machines
ISBN: 1608456161 ISBN-13(EAN): 9781608456161
Издательство: Mare Nostrum (Eurospan)
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Цена: 36030.00 T
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Описание: Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing. This book provides an introductory overview of this subject.