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Pattern Recognition Techniques Applied to Biomedical Problems, Martha Refugio Ortiz-Posadas


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Автор: Martha Refugio Ortiz-Posadas
Название:  Pattern Recognition Techniques Applied to Biomedical Problems
ISBN: 9783030380205
Издательство: Springer
Классификация:


ISBN-10: 3030380203
Обложка/Формат: Hardcover
Страницы: 221
Вес: 0.52 кг.
Дата издания: 01.03.2020
Серия: Steam-h: science, technology, engineering, agriculture, mathematics & health
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 46 illustrations, color; 22 illustrations, black and white; x, 221 p. 68 illus., 46 illus. in color.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on-but not limited to-pattern recognition modeling of biomedical signals and images.


Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 10366.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Introduction to Applied Linear Algebra

Автор: Boyd Stephen
Название: Introduction to Applied Linear Algebra
ISBN: 1316518965 ISBN-13(EAN): 9781316518960
Издательство: Cambridge Academ
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Цена: 6811.00 р.
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Описание: A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.

Understanding Machine Learning

Автор: Shalev-Shwartz
Название: Understanding Machine Learning
ISBN: 1107057132 ISBN-13(EAN): 9781107057135
Издательство: Cambridge Academ
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Цена: 11194.00 р.
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Описание: Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the `hows` and `whys` of machine-learning algorithms, making the field accessible to both students and practitioners.

Kernel Methods and Machine Learning

Автор: Kung
Название: Kernel Methods and Machine Learning
ISBN: 110702496X ISBN-13(EAN): 9781107024960
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Data Mining and Data Warehousing: Principles and Practical Techniques

Автор: Parteek Bhatia
Название: Data Mining and Data Warehousing: Principles and Practical Techniques
ISBN: 1108727743 ISBN-13(EAN): 9781108727747
Издательство: Cambridge Academ
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Цена: 10771.00 р.
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Описание: This textbook gives an in-depth discussion of basic principles and practical techniques of data mining and data warehousing. Theoretical concepts are discussed in detail with the help of practical examples. It covers data mining tools and language such as Weka and R language.

Pattern Recognition and Computational Intelligence Techniques Using Matlab

Автор: E. S. Gopi
Название: Pattern Recognition and Computational Intelligence Techniques Using Matlab
ISBN: 3030222721 ISBN-13(EAN): 9783030222727
Издательство: Springer
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Цена: 14025.00 р.
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Описание: This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.Presents pattern recognition and the computational intelligence using Matlab;Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly;Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.

Neural Networks for Pattern Recognition

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 16096.00 р.
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalities

Автор: Damir Gainanov
Название: Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalities
ISBN: 3110480131 ISBN-13(EAN): 9783110480139
Издательство: Walter de Gruyter
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Цена: 18586.00 р.
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Описание: This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as building blocks of geometric decision rules for pattern recognition.Infeasible systems of linear inequalities prove to be a key object in pattern recognition problems described in geometric terms thanks to the committee method. Such infeasible systems of inequalities represent an important special subclass of infeasible systems of constraints with a monotonicity property - systems whose multi-indices of feasible subsystems form abstract simplicial complexes (independence systems), which are fundamental objects of combinatorial topology.The methods of data mining and machine learning discussed in this monograph form the foundation of technologies like big data and deep learning, which play a growing role in many areas of human-technology interaction and help to find solutions, better solutions and excellent solutions. Contents: PrefacePattern recognition, infeasible systems of linear inequalities, and graphsInfeasible monotone systems of constraintsComplexes, (hyper)graphs, and inequality systemsPolytopes, positive bases, and inequality systemsMonotone Boolean functions, complexes, graphs, and inequality systemsInequality systems, committees, (hyper)graphs, and alternative coversBibliographyList of notationIndex

Applied Pattern Recognition

Автор: Horst Bunke; Abraham Kandel; Mark Last
Название: Applied Pattern Recognition
ISBN: 3642095542 ISBN-13(EAN): 9783642095542
Издательство: Springer
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Цена: 17096.00 р.
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Описание: A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period.

Mathematics Of Shapes And Applications

Автор: Kushnarev Sergey, Qiu Anqi, Younes Laurent
Название: Mathematics Of Shapes And Applications
ISBN: 9811200122 ISBN-13(EAN): 9789811200120
Издательство: World Scientific Publishing
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Цена: 12672.00 р.
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Описание:

Understanding how a single shape can incur a complex range of transformations, while defining the same perceptually obvious figure, entails a rich and challenging collection of problems, at the interface between applied mathematics, statistics and computer science. The program on Mathematics of Shapes and Applications, was held at the Institute for Mathematical Sciences at the National University of Singapore in 2016. It provided discussions on theoretical developments and numerous applications in computer vision, object recognition and medical imaging.

The analysis of shapes is an example of a mathematical problem directly connected with applications while offering deep open challenges to theoretical mathematicians. It has grown, over the past decades, into an interdisciplinary area in which researchers studying infinite-dimensional Riemannian manifolds (global analysis) interact with applied mathematicians, statisticians, computer scientists and biomedical engineers on a variety of problems involving shapes.

The volume illustrates this wealth of subjects by providing new contributions on the metric structure of diffeomorphism groups and shape spaces, recent developments on deterministic and stochastic models of shape evolution, new computational methods manipulating shapes, and new statistical tools to analyze shape datasets. In addition to these contributions, applications of shape analysis to medical imaging and computational anatomy are discussed, leading, in particular, to improved understanding of the impact of cognitive diseases on the geometry of the brain.

The Cambridge Handbook of Cognitive Linguistics

Автор: Dancygier
Название: The Cambridge Handbook of Cognitive Linguistics
ISBN: 1107118441 ISBN-13(EAN): 9781107118447
Издательство: Cambridge Academ
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Цена: 24394.00 р.
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Описание: A comprehensive survey of the quickly developing discipline of cognitive linguistics, its rich methodology, key results, and interdisciplinary context. Providing an accessible overview of research questions, basic concepts, and various theoretical approaches, the Handbook places linguistic facts in the context of gesture studies, neuroscience, computational approaches, and many other fields.

Optimizing engineering problems through heuristic techniques

Автор: Kumar, Kaushik (associate Professor, Department Of
Название: Optimizing engineering problems through heuristic techniques
ISBN: 1138485365 ISBN-13(EAN): 9781138485365
Издательство: Taylor&Francis
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Цена: 26796.00 р.
Наличие на складе: Нет в наличии.

Описание: This book will cover the issues related to optimization of engineering problems using heuristic techniques, with an industrial outlook. It will cover a broad area related to optimization of real life complex engineering problems. It will explore wide perspectives and future directions in industrial engineering research on a global platform.


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