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Computers, People, and Thought: From Data Mining to Evolutionary Robotics, Eaton Malachy


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Цена: 11179.00р.
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Автор: Eaton Malachy
Название:  Computers, People, and Thought: From Data Mining to Evolutionary Robotics
ISBN: 9783030552992
Издательство: Springer
Классификация:


ISBN-10: 3030552993
Обложка/Формат: Hardcover
Страницы: 233
Вес: 0.53 кг.
Дата издания: 23.09.2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 38 illustrations, color; 43 illustrations, black and white; xiv, 233 p. 81 illus., 38 illus. in color.
Размер: 23.39 x 15.60 x 1.60 cm
Читательская аудитория: Professional & vocational
Подзаголовок: From data mining to evolutionary robotics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In this book the author discusses synergies between computers and thought, related to the field of Artificial Intelligence;


Novel Design and Applications of Robotics Technologies

Автор: Dan Zhang, Bin Wei
Название: Novel Design and Applications of Robotics Technologies
ISBN: 1522552766 ISBN-13(EAN): 9781522552765
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.

Evolutionary Computation in Data Mining

Автор: Ashish Ghosh
Название: Evolutionary Computation in Data Mining
ISBN: 3642421954 ISBN-13(EAN): 9783642421952
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge.

Evolutionary Decision Trees in Large-Scale Data Mining

Автор: Marek Kretowski
Название: Evolutionary Decision Trees in Large-Scale Data Mining
ISBN: 3030218503 ISBN-13(EAN): 9783030218508
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. The resulting univariate or oblique trees are significantly smaller than those produced by standard top-down methods, an aspect that is critical for the interpretation of mined patterns by domain analysts. The approach presented here is extremely flexible and can easily be adapted to specific data mining applications, e.g. cost-sensitive model trees for financial data or multi-test trees for gene expression data. The global induction can be efficiently applied to large-scale data without the need for extraordinary resources. With a simple GPU-based acceleration, datasets composed of millions of instances can be mined in minutes. In the event that the size of the datasets makes the fastest memory computing impossible, the Spark-based implementation on computer clusters, which offers impressive fault tolerance and scalability potential, can be applied.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Introduction To Evolutionary Informatics

Автор: Marks Ii Robert J Et Al
Название: Introduction To Evolutionary Informatics
ISBN: 9813142146 ISBN-13(EAN): 9789813142145
Издательство: World Scientific Publishing
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Цена: 7603.00 р.
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Описание:

Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature.

Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information.

This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.

Introduction To Evolutionary Informatics

Автор: Marks Ii Robert J Et Al
Название: Introduction To Evolutionary Informatics
ISBN: 9813142138 ISBN-13(EAN): 9789813142138
Издательство: World Scientific Publishing
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Цена: 15523.00 р.
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Описание:

Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature.

Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information.

This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.

Emerging Trends and Applications in Cognitive Computing

Автор: MALLICK & BORAH
Название: Emerging Trends and Applications in Cognitive Computing
ISBN: 1522557938 ISBN-13(EAN): 9781522557937
Издательство: Mare Nostrum (Eurospan)
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Цена: 26961.00 р.
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Описание: Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making.Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.

Analyzing future applications of ai, sensors, and robotics in society

Автор: Thomas Heinrich Musiolik, Adrian David Cheok
Название: Analyzing future applications of ai, sensors, and robotics in society
ISBN: 1799835006 ISBN-13(EAN): 9781799835004
Издательство: Mare Nostrum (Eurospan)
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Цена: 22869.00 р.
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Описание: Presents research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. The book includes coverage on a broad range of topics, such as neuronal networks, cognitive computing, and e-health.

Mobile Robotics

Автор: Kelly
Название: Mobile Robotics
ISBN: 110703115X ISBN-13(EAN): 9781107031159
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: Mobile Robotics offers comprehensive coverage of the essentials of the field, suitable for both students and practitioners. Adapted from Alonzo Kelly`s graduate and undergraduate courses, the content of the book reflects current approaches to developing effective mobile robots.

Complex Behavior in Evolutionary Robotics

Автор: Lukas K?¶nig
Название: Complex Behavior in Evolutionary Robotics
ISBN: 3110408546 ISBN-13(EAN): 9783110408546
Издательство: Walter de Gruyter
Цена: 13937.00 р.
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Описание: Today, autonomous robots are used in a rather limited range of applications such as exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing hardware improvements (and human fantasy) steadily reveal new robotic applications of significantly higher sophistication. For such applications, the crucial bottleneck in the engineering process tends to shift from physical boundaries to controller generation. As an attempt to automatize this process, Evolutionary Robotics has successfully been used to generate robotic controllers of various types. However, a major challenge of the field remains the evolution of truly complex behavior. Furthermore, automatically created controllers often lack analyzability which makes them useless for safety-critical applications. In this book, a simple controller model based on Finite State Machines is proposed which allows a straightforward analysis of evolved behaviors. To increase the model's evolvability, a procedure is introduced which, by adapting the genotype-phenotype mapping at runtime, efficiently traverses both the behavioral search space as well as (recursively) the search space of genotype-phenotype mappings. Furthermore, a data-driven mathematical framework is proposed which can be used to calculate the expected success of evolution in complex environments.

The Art of Feature Engineering: Essentials for Machine Learning

Автор: Pablo Duboue
Название: The Art of Feature Engineering: Essentials for Machine Learning
ISBN: 1108709389 ISBN-13(EAN): 9781108709385
Издательство: Cambridge Academ
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Цена: 6970.00 р.
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Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.

Evolutionary Decision Trees in Large-Scale Data Mining

Автор: Kretowski Marek
Название: Evolutionary Decision Trees in Large-Scale Data Mining
ISBN: 3030218538 ISBN-13(EAN): 9783030218539
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. cost-sensitive model trees for financial data or multi-test trees for gene expression data.


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