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Mathematical Theories of Machine Learning - Theory and Applications, Bin Shi; S. S. Iyengar


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Цена: 12157.00р.
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Автор: Bin Shi; S. S. Iyengar
Название:  Mathematical Theories of Machine Learning - Theory and Applications
ISBN: 9783030170752
Издательство: Springer
Классификация:






ISBN-10: 3030170756
Обложка/Формат: Hardcover
Страницы: 133
Вес: 0.41 кг.
Дата издания: 2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 75 tables, color; 24 illustrations, color; 1 illustrations, black and white; xxi, 133 p. 25 illus., 24 illus. in color.
Размер: 234 x 156 x 11
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.
Дополнительное описание: Chapter 1. Introduction.- Chapter 2. General Framework of Mathematics.- Chapter 3. Problem Formulation.- Chapter 4. Development of Novel Techniques of CoCoSSC Method.- Chapter 5. Further Discussions of the Proposed Method.- Chapter 6. Related Work on Geom



Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
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Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Monte Carlo Methods and Applications: Proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29 – September 2, 2011, Borovets, Bulgaria

Автор: Karl K. Sabelfeld, Ivan Dimov
Название: Monte Carlo Methods and Applications: Proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29 – September 2, 2011, Borovets, Bulgaria
ISBN: 3110293471 ISBN-13(EAN): 9783110293470
Издательство: Walter de Gruyter
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Цена: 18586.00 р.
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Описание: The series is aimed specifically at publishing peer reviewed reviews and contributions presented at workshops and conferences. Each volume is associated with a particular conference, symposium or workshop. These events cover various topics within pure and applied mathematics and provide up-to-date coverage of new developments, methods and applications.

Mathematical and Numerical Modeling of the Cardiovascular System and Applications

Автор: Daniele Boffi; Luca F. Pavarino; Gianluigi Rozza;
Название: Mathematical and Numerical Modeling of the Cardiovascular System and Applications
ISBN: 3319966480 ISBN-13(EAN): 9783319966489
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The book comprises contributions by some of the most respected scientists in the field of mathematical modeling and numerical simulation of the human cardiocirculatory system. It covers a wide range of topics, from the assimilation of clinical data to the development of mathematical and computational models, including with parameters, as well as their efficient numerical solution, and both in-vivo and in-vitro validation. It also considers applications of relevant clinical interest. This book is intended for graduate students and researchers in the field of bioengineering, applied mathematics, computer, computational and data science, and medicine wishing to become involved in the highly fascinating task of modeling the cardiovascular system.

Mathematical Theories of Distributed Sensor Networks

Название: Mathematical Theories of Distributed Sensor Networks
ISBN: 1441984194 ISBN-13(EAN): 9781441984197
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This book explains how mathematics can be utilized to provide efficient techniques for implementing effective coverage, deployment, transmission, data processing, signal processing, and data protection within distributed sensor networks.

Optoelectronics in Machine Vision-Based Theories and Applications

Автор: Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, Julio Cesar Rodriguez-Quinonez
Название: Optoelectronics in Machine Vision-Based Theories and Applications
ISBN: 1522557512 ISBN-13(EAN): 9781522557517
Издательство: Mare Nostrum (Eurospan)
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Цена: 28215.00 р.
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Описание: Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services.Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.

Discrete Fourier And Wavelet Transforms: An Introduction Through Linear Algebra With Applications To Signal Processing

Автор: Goodman Roe W
Название: Discrete Fourier And Wavelet Transforms: An Introduction Through Linear Algebra With Applications To Signal Processing
ISBN: 9814725773 ISBN-13(EAN): 9789814725774
Издательство: World Scientific Publishing
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Цена: 6336.00 р.
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Описание:

"This book is suitable as a textbook for an introductory undergraduate mathematics course on discrete Fourier and wavelet transforms for students with background in calculus and linear algebra. The particular strength of this book is its accessibility to students with no background in analysis. The exercises and computer explorations provide the reader with many opportunities for active learning. Studying from this text will also help students strengthen their background in linear algebra."

Mathematical Association of America

This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.

It explains how to use the Fourier matrix to extract frequency information from a digital signal and how to use circulant matrices to emphasize selected frequency ranges. It introduces discrete wavelet transforms for digital signals through the lifting method and illustrates through examples and computer explorations how these transforms are used in signal and image processing. Then the general theory of discrete wavelet transforms is developed via the matrix algebra of two-channel filter banks. Finally, wavelet transforms for analog signals are constructed based on filter bank results already presented, and the mathematical framework of multiresolution analysis is examined.

Soft Computing: Theories and Applications

Автор: Millie Pant; Kanad Ray; Tarun K. Sharma; Sanyog Ra
Название: Soft Computing: Theories and Applications
ISBN: 9811056862 ISBN-13(EAN): 9789811056864
Издательство: Springer
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Цена: 41925.00 р.
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Описание: It presents the proceedings of International Conference on Soft Computing: Theories and Applications (SoCTA 2016), offering significant insights into soft computing for teachers and researchers and inspiring more and more researchers to work in the field of soft computing.

Soft Computing: Theories and Applications

Автор: Millie Pant; Kanad Ray; Tarun K. Sharma; Sanyog Ra
Название: Soft Computing: Theories and Applications
ISBN: 9811056986 ISBN-13(EAN): 9789811056987
Издательство: Springer
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Цена: 39130.00 р.
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Описание: It presents the proceedings of International Conference on Soft Computing: Theories and Applications (SoCTA 2016), offering significant insights into soft computing for teachers and researchers and inspiring more and more researchers to work in the field of soft computing.

Mathematical Morphology and Its Applications to Signal and Image Processing

Автор: Cris L. Luengo Hendriks; Gunilla Borgefors; Robin
Название: Mathematical Morphology and Its Applications to Signal and Image Processing
ISBN: 3642382932 ISBN-13(EAN): 9783642382932
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book contains the refereed proceedings of the 11th International Symposium on Mathematical Morphology, ISMM 2013 held in Uppsala, Sweden, in May 2013. The 41 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections on theory;

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

Автор: Jagdish C. Bansal; Pramod Singh; Kusum Deep; Milli
Название: Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)
ISBN: 8132210379 ISBN-13(EAN): 9788132210375
Издательство: Springer
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Цена: 32142.00 р.
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Описание: The book is a collection of high quality peer reviewed research papers presented in Seventh International Conference on Bio-Inspired Computing (BIC-TA 2012) held at ABV-IIITM Gwalior, India.


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