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  • Intelligent Robot

    Implementation and Applications

    Series series Computer Science (R0)
    Today, the development of robots is making steady advances. In particular, the Robot Operating System (ROS) offers a unified platform that greatly facilitates the development of robots and has become a new hotspot for learning and application in the field of robotics research.This book introduces readers to the key technologies and development methods for ROS-based intelligent robots. Covering ... Read more

    $71.99 USD

  • Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty

    Theories, Methods and Applications

    Series series Business and Management (R0)
    This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic ... Read more

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  • Elements of Causal Inference

    Foundations and Learning Algorithms

    Series series Adaptive Computation and Machine Learning series
    A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Read more

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  • Building Wireless Sensor Networks

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  • Machine Learning

    A Constraint-Based Approach

    by Marco Gori ...
    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Read more

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  • Neural Network Methods in Natural Language Processing

    Series series Synthesis Lectures on Human Language Technologies
    Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Read more

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  • C Programming for the Pc the Mac and the Arduino Microcontroller System

    by Peter D Minns ...
    Many systems today use the C programming language as it is available for most computers This book looks at how to produce C programs to execute on a PC or a MAC computer. It also looks at the Arduino UNO micro controller and describes how to write C programs usng the Arduino 'wired' C functions as well as using standard ANSI C with direct access to the micro controller registers of the Ardunio UNO ... Read more

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  • Representation Learning for Natural Language Processing

    Series series Computer Science (R0)
    This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those ... Read more

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  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
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    by Philipp Koehn ...
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