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Algorithmic Intelligence, Stefan Edelkamp


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Цена: 139750T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 1 шт.  Склад Америка: 3 шт.  
При оформлении заказа до: 15 июн 2024
Ориентировочная дата поставки: конец Июля- начало Августа

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Автор: Stefan Edelkamp   (Стефан Эделькамп)
Название:  Algorithmic Intelligence   (Стефан Эделькамп: Алгоритмический интеллект)
Издательство: Springer
Классификация:
ISBN: 3319655957
ISBN-13(EAN): 9783319655956
Обложка/Формат: Hardcover
Вес: 0.419 кг.
Дата издания: 31.05.2023
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 90 illustrations, color; 83 illustrations, black and white; xxv, 467 p. 173 illus., 90 illus. in color.
Размер: 215 x 287 x 35
Читательская аудитория: General (us: trade)
Рейтинг:
Поставляется из: Германии
Описание: In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via engineered algorithmic solutions. Part I of the book introduces the basics. The author starts with a hands-on programming primer for solving combinatorial problems, with an emphasis on recursive solutions. The other chapters in the first part of the book explain shortest paths, sorting, deep learning, and Monte Carlo search. A key function of computational tools is processing Big Data efficiently, and the chapters in Part II of the book examine traditional graph problems such as finding cliques, colorings, independent sets, vertex covers, and hitting sets, and the subsequent chapters cover multimedia, network, image, and navigation data. The highly topical research areas detailed in Part III are machine learning, problem solving, action planning, general game playing, multiagent systems, and recommendation and configuration. Finally, in Part IV the author uses application areas such as model checking, computational biology, logistics, additive manufacturing, robot motion planning, and industrial production to explain how the techniques described may be exploited in modern settings. The book is supported with a comprehensive index and references, and it will be of value to researchers, practitioners, and students in the areas of artificial intelligence and computational intelligence.
Дополнительное описание: Preface.- Towards a Characterization.- Part I, Basics.- 1. Programming Primer.- 2. Shortest Paths.- 3. Sorting.- 4. Deep Learning.- 5. Monte-Carlo Search.- Part II, Big Data.- 6. Graph data.- 7. Multimedia Data.- 8. Network Data.- 9. Image Data.- 10. Navi


Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis

Автор: Ingvar Eidhammer
Название: Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis
ISBN: 0470848391 ISBN-13(EAN): 9780470848395
Издательство: Wiley
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Цена: 60950 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include:* Provides a comprehensive introduction to the analysis of protein sequence and structure analysis.

Algorithmic Foundations of Robotics VIII

Автор: Gregory S. Chirikjian; Howie Choset; Marco Morales
Название: Algorithmic Foundations of Robotics VIII
ISBN: 3642262171 ISBN-13(EAN): 9783642262173
Издательство: Springer
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Цена: 182850 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains selected contributions to WAFR, the highly-competitive meeting on the algorithmic foundations of robotics. They address the unique combination of questions that the design and analysis of robot algorithms inspires.

Algorithmic Foundation of Robotics VII

Автор: Srinivas Akella; Nancy M. Amato; Wesley Huang; Bud
Название: Algorithmic Foundation of Robotics VII
ISBN: 3642087981 ISBN-13(EAN): 9783642087981
Издательство: Springer
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Цена: 182850 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is comprised of thirty-two papers presented at the prestigious 2006 Workshop on the Algorithmic Foundations of Robotics. The papers span a wide variety of topics all related to the algorithmic problems of robotic systems.

Algorithmic Learning Theory

Автор: Ortner
Название: Algorithmic Learning Theory
ISBN: 3319463780 ISBN-13(EAN): 9783319463780
Издательство: Springer
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Цена: 40530 T
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Описание: This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. statistical learning, theory, evolvability; exact and interactive learning;

Algorithmic Foundations of Robotics X

Автор: Emilio Frazzoli; Tomas Lozano-Perez; Nicholas Roy;
Название: Algorithmic Foundations of Robotics X
ISBN: 3642427316 ISBN-13(EAN): 9783642427312
Издательство: Springer
Рейтинг:
Цена: 130600 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the proceedings of the tenth WAFR, held at Massachusetts Institute of Technology in June 2012. Its 37 papers address a broad range of topics, from fundamental theoretical issues in robot motion planning, control and perception, to novel applications.

Algorithmic Aspects of Bioinformatics

Автор: Hans-Joachim B?ckenhauer; Dirk Bongartz
Название: Algorithmic Aspects of Bioinformatics
ISBN: 3642091008 ISBN-13(EAN): 9783642091001
Издательство: Springer
Рейтинг:
Цена: 55500 T
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Описание: This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. This book presents formal models in a mathematically precise, yet intuitive manner.

Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering

Автор: Jaime Nava; Vladik Kreinovich
Название: Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering
ISBN: 3662511592 ISBN-13(EAN): 9783662511596
Издательство: Springer
Рейтинг:
Цена: 65300 T
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Описание: A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes.

Algorithmic Learning Theory

Автор: Ricard Gavalda; Gabor Lugosi; Thomas Zeugmann; San
Название: Algorithmic Learning Theory
ISBN: 3642044131 ISBN-13(EAN): 9783642044137
Издательство: Springer
Рейтинг:
Цена: 62890 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.

Algorithmic Advances in Riemannian Geometry and Applications

Автор: Minh
Название: Algorithmic Advances in Riemannian Geometry and Applications
ISBN: 3319450255 ISBN-13(EAN): 9783319450254
Издательство: Springer
Рейтинг:
Цена: 66380 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of Riemannian geometry. As demonstrated by all the chapters in the book, when the data is intrinsically non-Euclidean, the utilization of this geometrical information can lead to better algorithms that can capture more accurately the structures inherent in the data, leading ultimately to better empirical performance. This book is not intended to be an encyclopedic compilation of the applications of Riemannian geometry. Instead, it focuses on several important research directions that are currently actively pursued by researchers in the field. These include statistical modeling and analysis on manifolds,optimization on manifolds, Riemannian manifolds and kernel methods, and dictionary learning and sparse coding on manifolds. Examples of applications include novel algorithms for Monte Carlo sampling and Gaussian Mixture Model fitting, 3D brain image analysis,image classification, action recognition, and motion tracking.

Algorithmic Aspects of Cloud Computing

Автор: Timos Sellis; Konstantinos Oikonomou
Название: Algorithmic Aspects of Cloud Computing
ISBN: 3319570447 ISBN-13(EAN): 9783319570440
Издательство: Springer
Рейтинг:
Цена: 34930 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. transactional models and algorithms for cloud databases;

Algorithmic Aspects of Cloud Computing

Автор: Ioannis Karydis; Spyros Sioutas; Peter Triantafill
Название: Algorithmic Aspects of Cloud Computing
ISBN: 3319299182 ISBN-13(EAN): 9783319299181
Издательство: Springer
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Цена: 29350 T
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Описание: Tutorials.- Algorithmic Aspects of Large-Scale Data Stores.- Software Tools and Distributed Architectures for Cloud-based Data Management.


Algorithmic Learning Theory

Автор: Sanjay Jain; R?mi Munos; Frank Stephan; Thomas Zeu
Название: Algorithmic Learning Theory
ISBN: 3642409342 ISBN-13(EAN): 9783642409349
Издательство: Springer
Рейтинг:
Цена: 43330 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013.


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