Handbook of Image Processing and Computer Vision: Volume 3: From Pattern to Object, Distante Arcangelo, Distante Cosimo

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
Рейтинг:
Цена: 66520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Flach
Название: Machine Learning
ISBN: 1107422221 ISBN-13(EAN): 9781107422223
Издательство: Cambridge Academ
Рейтинг:
Цена: 50680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.

Автор: Kung
Название: Kernel Methods and Machine Learning
ISBN: 110702496X ISBN-13(EAN): 9781107024960
Издательство: Cambridge Academ
Рейтинг:
Цена: 90810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Non-linear Data Structures and Data Processing
ISBN: 3110676052 ISBN-13(EAN): 9783110676051
Издательство: Walter de Gruyter
Цена: 80520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.

Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Data structures based on linear relations
ISBN: 3110595575 ISBN-13(EAN): 9783110595574
Издательство: Walter de Gruyter
Цена: 80520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Data structures is a key course for computer science and related majors. This book presents a variety of practical or engineering cases and derives abstract concepts from concrete problems. Besides basic concepts and analysis methods, it introduces basic data types such as sequential list, tree as well as graph. This book can be used as an undergraduate textbook, as a training textbook or a self-study textbook for engineers.

Автор: Concha Bielza, Pedro Larranaga
Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
ISBN: 110849370X ISBN-13(EAN): 9781108493703
Издательство: Cambridge Academ
Рейтинг:
Цена: 85530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.

Автор: Ji Xiang, Kai Fan, Xingni Zhou, Yanzhuo Ma, zhiyuan Ren
Название: [Set Data Structures and Algorithms Analysis, Vol 1+2]
ISBN: 311068165X ISBN-13(EAN): 9783110681659
Издательство: Walter de Gruyter
Рейтинг:
Цена: 128870.00 T
Наличие на складе: Нет в наличии.
Описание:

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.

Автор: Wright, John (columbia University, New York) Ma, Yi (university Of California, Berkeley)
Название: High-dimensional data analysis with low-dimensional models
ISBN: 1108489737 ISBN-13(EAN): 9781108489737
Издательство: Cambridge Academ
Рейтинг:
Цена: 63350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students in computer science, data science, and electrical engineering. With foreword by Emmanuel Candes.

Автор: Lindholm, Andreas
Название: Machine learning
ISBN: 1108843603 ISBN-13(EAN): 9781108843607
Издательство: Cambridge Academ
Рейтинг:
Цена: 58070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting.

Автор: Couillet, Romain Liao, Zhenyu
Название: Random matrix methods for machine learning
ISBN: 1009123238 ISBN-13(EAN): 9781009123235
Издательство: Cambridge Academ
Рейтинг:
Цена: 68630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For graduate students, practitioners, and sophisticated users, this book offers a tutorial approach to the foundations of random matrix theory for machine learning and systematic analyses of advanced applications ranging from power detection to deep neural networks. MATLAB and Python code is provided for all concepts and applications.

Автор: Damir Gainanov
Название: Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalities
ISBN: 3110480131 ISBN-13(EAN): 9783110480139
Издательство: Walter de Gruyter
Рейтинг:
Цена: 123910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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

Автор: Distante Arcangelo, Distante Cosimo
Название: Handbook of Image Processing and Computer Vision: Volume 3: From Pattern to Object
ISBN: 3030423778 ISBN-13(EAN): 9783030423773
Издательство: Springer
Цена: 232910.00 T
Наличие на складе: Нет в наличии.
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.