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Author : H. W. Beam
Publisher :
ISBN 13 : 9781258983208
Total Pages : 36 pages
Book Rating : 4.9/5 (832 download)
Download or read book Wendemuth's Lessons, the Standard Guide for Checker Students written by H. W. Beam and published by . This book was released on 2013-10 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a new release of the original 1930 edition.
Author : H. W. Beam
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (3 download)
Download or read book Wendemuth's Lessons written by H. W. Beam and published by . This book was released on 1930 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Susanne Biundo
Publisher : Springer
ISBN 13 : 3319436651
Total Pages : 504 pages
Book Rating : 4.3/5 (194 download)
Download or read book Companion Technology written by Susanne Biundo and published by Springer. This book was released on 2017-12-04 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Future technical systems will be companion systems, competent assistants that provide their functionality in a completely individualized way, adapting to a user’s capabilities, preferences, requirements, and current needs, and taking into account both the emotional state and the situation of the individual user. This book presents the enabling technology for such systems. It introduces a variety of methods and techniques to implement an individualized, adaptive, flexible, and robust behavior for technical systems by means of cognitive processes, including perception, cognition, interaction, planning, and reasoning. The technological developments are complemented by empirical studies from psychological and neurobiological perspectives.
Author : Library of Congress. Copyright Office
Publisher : Copyright Office, Library of Congress
ISBN 13 :
Total Pages : 2338 pages
Book Rating : 4.F/5 ( download)
Download or read book Catalog of Copyright Entries. New Series written by Library of Congress. Copyright Office and published by Copyright Office, Library of Congress. This book was released on 1935 with total page 2338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes Part 1, Books, Group 1, Nos. 1-155 (March - December, 1934)
Author : Cleveland Public Library. John G. White Department
Publisher :
ISBN 13 :
Total Pages : 642 pages
Book Rating : 4.3/5 (91 download)
Download or read book Author catalog written by Cleveland Public Library. John G. White Department and published by . This book was released on 1964 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 132 pages
Book Rating : 4.:/5 (661 download)
Download or read book Competitive Learning written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-21 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Competitive Learning In artificial neural networks, competitive learning is a type of unsupervised learning in which nodes fight for the right to respond to a subset of the input data. This type of learning is known as "competitive learning." Competitive learning is a form of learning that is similar to Hebbian learning. It operates by raising the level of specialization at each node in the network. It works quite well for discovering clusters hidden within data. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Competitive Learning Chapter 2: Self-organizing map Chapter 3: Perceptron Chapter 4: Unsupervised Learning Chapter 5: Hebbian Theory Chapter 6: Backpropagation Chapter 7: Multilayer Perceptron Chapter 8: Learning Rule Chapter 9: Feature Learning Chapter 10: Types of artificial neural networks (II) Answering the public top questions about competitive learning. (III) Real world examples for the usage of competitive learning in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of competitive learning. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Author : Dr. Om Prakash C
Publisher : Archers & Elevators Publishing House
ISBN 13 : 9394958479
Total Pages : 556 pages
Book Rating : 4.3/5 (949 download)
Download or read book Deep Learning written by Dr. Om Prakash C and published by Archers & Elevators Publishing House. This book was released on with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ulf Brefeld
Publisher : Springer
ISBN 13 : 3030109976
Total Pages : 706 pages
Book Rating : 4.0/5 (31 download)
Download or read book Machine Learning and Knowledge Discovery in Databases written by Ulf Brefeld and published by Springer. This book was released on 2019-01-17 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
Author : Cleveland Public Library. John G. White Department
Publisher :
ISBN 13 :
Total Pages : 606 pages
Book Rating : 4.3/5 (91 download)
Download or read book Subject catalog written by Cleveland Public Library. John G. White Department and published by . This book was released on 1964 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Library of Congress
Publisher :
ISBN 13 :
Total Pages : 712 pages
Book Rating : 4.3/5 (91 download)
Download or read book The National Union Catalog, Pre-1956 Imprints written by Library of Congress and published by . This book was released on 1979 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Paolo Petta
Publisher : Springer Science & Business Media
ISBN 13 : 3642151841
Total Pages : 787 pages
Book Rating : 4.6/5 (421 download)
Download or read book Emotion-Oriented Systems written by Paolo Petta and published by Springer Science & Business Media. This book was released on 2011-02-04 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emotion pervades human life in general, and human communication in particular, and this sets information technology a challenge. Traditionally, IT has focused on allowing people to accomplish practical tasks efficiently, setting emotion to one side. That was acceptable when technology was a small part of life, but as technology and life become increasingly interwoven we can no longer ask people to suspend their emotional nature and habits when they interact with technology. The European Commission funded a series of related research projects on emotion and computing, culminating in the HUMAINE project which brought together leading academic researchers from the many related disciplines. This book grew out of that project, and its chapters are arranged according to its working areas: theories and models; signals to signs; data and databases; emotion in interaction; emotion in cognition and action; persuasion and communication; usability; and ethics and good practice. The fundamental aim of the book is to offer researchers an overview of the related areas, sufficient for them to do credible work on affective or emotion-oriented computing. The book serves as an academically sound introduction to the range of disciplines involved – technical, empirical and conceptual – and will be of value to researchers in the areas of artificial intelligence, psychology, cognition and user—machine interaction.
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 161 pages
Book Rating : 4.:/5 (661 download)
Download or read book Perceptrons written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-25 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Perceptrons The perceptron is a technique for supervised learning of binary classifiers that is used in the field of machine learning. A function known as a binary classifier is one that can determine whether or not an input, which is often portrayed by a vector of numbers, is a member of a particular category. It is a kind of linear classifier, which means that it is a classification method that forms its predictions on the basis of a linear predictor function by combining a set of weights with the feature vector. In other words, it creates its predictions based on a linear predictor function. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Perceptron Chapter 2: Supervised learning Chapter 3: Support vector machine Chapter 4: Linear classifier Chapter 5: Pattern recognition Chapter 6: Artificial neuron Chapter 7: Hopfield network Chapter 8: Backpropagation Chapter 9: Feedforward neural network Chapter 10: Multilayer perceptron (II) Answering the public top questions about perceptrons. (III) Real world examples for the usage of perceptrons in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of perceptrons. What Is Artificial Intelligence Series The Artificial Intelligence eBook series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The Artificial Intelligence eBook series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 134 pages
Book Rating : 4.:/5 (661 download)
Download or read book Pattern Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-05 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Pattern Recognition The process of automatically recognizing patterns and regularities within data is known as pattern recognition. Statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics, and machine learning are just few of the fields that can benefit from its use. The fields of statistics and engineering are where pattern recognition got its start; some contemporary methods of pattern recognition involve the use of machine learning, which is made possible by the increased availability of huge data and the more abundant computing capacity. Both of these pursuits might be considered to be two facets of the same application sector, and both of these activities have undergone significant development over the course of the last several decades. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Pattern recognition Chapter 2: Supervised learning Chapter 3: Linear classifier Chapter 4: Perceptron Chapter 5: Gaussian process Chapter 6: Expectation-maximization algorithm Chapter 7: Generalized linear model Chapter 8: Statistical learning theory Chapter 9: Kernel method Chapter 10: Probabilistic classification (II) Answering the public top questions about pattern recognition. (III) Real world examples for the usage of pattern recognition in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of pattern recognition. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 130 pages
Book Rating : 4.:/5 (661 download)
Download or read book Multilayer Perceptron written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-26 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Multilayer Perceptron A fully connected class of feedforward artificial neural network (ANN), a multilayer perceptron, or MLP, is referred to as a multilayer perceptron. The word "MLP" is used in a way that is rather vague. Sometimes it is used to refer to any feedforward ANN, and other times it is used more specifically to refer to networks that are constructed of several layers of perceptrons; for more information, see "Terminology." When they just contain one hidden layer, multilayer perceptrons are sometimes jokingly referred to as "vanilla" neural networks. This is especially true when the term is used in a slang context. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Multilayer Perceptron Chapter 2: Artificial Neural Network Chapter 3: Perceptron Chapter 4: Artificial Neuron Chapter 5: Activation Function Chapter 6: Backpropagation Chapter 7: Delta Rule Chapter 8: Feedforward Neural Network Chapter 9: Universal Approximation Theorem Chapter 10: Mathematics of Artificial Neural Networks (II) Answering the public top questions about multilayer perceptron. (III) Real world examples for the usage of multilayer perceptron in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of multilayer perceptron. What Is Artificial Intelligence Series The Artificial Intelligence eBook series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The Artificial Intelligence eBook series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Author : Frank R. Wendemuth
Publisher :
ISBN 13 :
Total Pages : 4 pages
Book Rating : 4.:/5 (645 download)
Download or read book The Game of Checkers written by Frank R. Wendemuth and published by . This book was released on 192? with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Masaaki Kurosu
Publisher : Springer
ISBN 13 : 3319395106
Total Pages : 646 pages
Book Rating : 4.3/5 (193 download)
Download or read book Human-Computer Interaction. Theory, Design, Development and Practice written by Masaaki Kurosu and published by Springer. This book was released on 2016-07-04 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set LNCS 9731, 9732, and 9733 constitutes the refereed proceedings of the 18th International Conference on Human-Computer Interaction, HCII 2016, held in Toronto, ON, Canada, in July 2016. The total of 1287 papers and 186 posters presented at the HCII 2016 conferences and were carefully reviewed and selected from 4354 submissions. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The volumes constituting the full 27-volume set of the conference proceedings.
Author : Brett Anderson
Publisher : Scientific e-Resources
ISBN 13 : 1839472391
Total Pages : pages
Book Rating : 4.8/5 (394 download)
Download or read book Pattern Recognition written by Brett Anderson and published by Scientific e-Resources. This book was released on 2019-09-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Watching the environment and recognising patterns with the end goal of basic leadership is central to human instinct. This book manages the logical train that empowers comparable observation in machines through pattern recognition, which has application in differing innovation regions-character recognition, picture handling, modern computerization, web looks, discourse recognition, therapeutic diagnostics, target recognition, space science, remote detecting, information mining, biometric recognizable proof-to give some examples. This book is a composition of central subjects in pattern recognition utilizing an algorithmic approach. It gives a careful prologue to the ideas of pattern recognition and an efficient record of the real points in pattern recognition other than assessing the huge advance made in the field as of late. It incorporates fundamental strategies of pattern recognition, neural systems, bolster vector machines and choice trees. While hypothetical angles have been given due scope, the accentuation is more on the pragmatic. Pattern recognition has application in practically every field of human undertaking including topography, geology, space science and brain research. All the more particularly, it is helpful in bioinformatics, mental investigation, biometrics and a large group of different applications.
