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Solving Large Scale Learning Tasks. Challenges and Algorithms, Michaelis


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Цена: 7826.00р.
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Автор: Michaelis
Название:  Solving Large Scale Learning Tasks. Challenges and Algorithms
ISBN: 9783319417059
Издательство: Springer
Классификация:



ISBN-10: 3319417053
Обложка/Формат: Paperback
Страницы: 387
Вес: 0.62 кг.
Дата издания: 2016
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Иллюстрации: 73 black & white illustrations, biography
Размер: 234 x 156 x 21
Читательская аудитория: General (us: trade)
Основная тема: Computer Science
Подзаголовок: Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation.


Nonlinear Kalman Filtering for Force-Controlled Robot Tasks

Автор: Tine Lefebvre; Herman Bruyninckx; Joris de Schutte
Название: Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
ISBN: 3642066291 ISBN-13(EAN): 9783642066290
Издательство: Springer
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Цена: 19589.00 р.
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Описание: "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy.

Knowledge Representations for Planning Manipulation Tasks

Автор: Franziska Zacharias
Название: Knowledge Representations for Planning Manipulation Tasks
ISBN: 3642251811 ISBN-13(EAN): 9783642251818
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In this book, the capability map, a novel general representation of the kinematic capabilities of a robot arm, is introduced. The capability map allows to determine how well regions of the workspace are reachable for the end effector in different orientations. It is a representation that can be machine processed as well as intuitively visualized for the human. The capability map and the derived algorithms are a valuable source of information for high- and low-level planning processes. The versatile applicability of the capability map is shown by examples from several distinct application domains. In human-robot interaction, a bi-manual interface for tele-operation is objectively evaluated. In low-level geometric planning, more human-like motion is planned for a humanoid robot while also reducing the computation time. And in high-level task reasoning, the suitability of a robot for a task is evaluated.    

OpenMP: Memory, Devices, and Tasks

Автор: Maruyama
Название: OpenMP: Memory, Devices, and Tasks
ISBN: 3319455494 ISBN-13(EAN): 9783319455495
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the proceedings of the 12th International Workshop on OpenMP, IWOMP 2016, held in Nara, Japan, in October 2016. They were organized in topical sections named: applications, locality, task parallelism, extensions, tools, accelerator programming, and performance evaluations and optimization.

Better Decision Making in Complex, Dynamic Tasks

Название: Better Decision Making in Complex, Dynamic Tasks
ISBN: 3319079859 ISBN-13(EAN): 9783319079851
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people`s ability to make better decision in complex, dynamic tasks.

Using and Improving OpenMP for Devices, Tasks, and More

Автор: Luiz DeRose; Bronis R. de Supinski; Stephen L. Oli
Название: Using and Improving OpenMP for Devices, Tasks, and More
ISBN: 3319114530 ISBN-13(EAN): 9783319114538
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th International Workshop on OpenMP, held in Salvador, Brazil, in September 2014. understanding and verifying correctness of OpenMP programs; OpenMP memory extensions; experiences with OpenMP device constructs.

Active Sensor Planning for Multiview Vision Tasks

Автор: Shengyong Chen; Y. F. Li; Jianwei Zhang; Wanliang
Название: Active Sensor Planning for Multiview Vision Tasks
ISBN: 3642437370 ISBN-13(EAN): 9783642437373
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This unique book explores the important issues in studying for active visual perception. The book`s eleven chapters draw on recent important work in robot vision over ten years, particularly in the use of new concepts.

Knowledge Representations for Planning Manipulation Tasks

Автор: Franziska Zacharias
Название: Knowledge Representations for Planning Manipulation Tasks
ISBN: 3662508737 ISBN-13(EAN): 9783662508732
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book introduces the capability map, a novel general representation of the kinematic capabilities of a robot arm. The coverage includes examples from several distinct application domains, including a bi-manual interface for tele-operation and more.

Better Decision Making in Complex, Dynamic Tasks

Автор: Hassan Qudrat-Ullah
Название: Better Decision Making in Complex, Dynamic Tasks
ISBN: 3319382071 ISBN-13(EAN): 9783319382074
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people`s ability to make better decision in complex, dynamic tasks.

Blended Learning. New Challenges and Innovative Practices

Автор: Simon K.S. Cheung; Lam-for Kwok; Will W.K. Ma; Lap
Название: Blended Learning. New Challenges and Innovative Practices
ISBN: 3319593595 ISBN-13(EAN): 9783319593593
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th International Conference on Blended Learning, ICBL 2017, held in Hong Kong, China, in June 2017. The 42 papers presented were carefully reviewed and selected from 100 submissions. Experiences in Blended Learning; Strategies in Blended Learning; Assessment for Blended Learning;

Exploitation of Linkage Learning in Evolutionary Algorithms

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642128335 ISBN-13(EAN): 9783642128332
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Exploitation of Linkage Learning in Evolutionary Algorithms

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642263275 ISBN-13(EAN): 9783642263279
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions

Автор: Buontempo Frances
Название: Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions
ISBN: 168050620X ISBN-13(EAN): 9781680506204
Издательство: Wiley
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Цена: 5859.00 р.
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Описание:

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.

Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.

In this book, you will:

  • Use heuristics and design fitness functions.
  • Build genetic algorithms.
  • Make nature-inspired swarms with ants, bees and particles.
  • Create Monte Carlo simulations.
  • Investigate cellular automata.
  • Find minima and maxima, using hill climbing and simulated annealing.
  • Try selection methods, including tournament and roulette wheels.
  • Learn about heuristics, fitness functions, metrics, and clusters.

Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon.

What You Need:

Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions.


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