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Showing 1 - 12 of 12 results for “tetsuya hoya”
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  • Syntactic Networks—Kernel Memory Approach

    by Tetsuya Hoya ...
    Series series Intelligent Technologies and Robotics (R0)
    This book proposes a novel connectionist approach to a challenging topic of language modeling within the context of kernel memory and artificial mind system, both proposed previously by the author in the very first volume of the series, Artificial Mind System—Kernel Memory Approach: Studies in Computational Intelligence, Vol. 1. The present volume focuses on how syntactic structures of language ... Read more

    $179.39 CAD

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  • Artificial Intelligence

    With an Introduction to Machine Learning, Second Edition

    by Richard E. Neapolitan, Xia Jiang ...
    Series series Chapman & Hall/CRC Artificial Intelligence and Robotics Series
    The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.The book is divided into five ... Read more

    $86.56 CAD

  • Markov Models: An Introduction to Markov Models

    by Steven Taylor ...
    Markov ModelsThis book will offer you an insight into the Hidden Markov Models as well as the Bayesian Networks. Additionally, by reading this book, you will also learn algorithms such as Markov Chain Sampling.Furthermore, this book will also teach you how Markov Models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrenc... ... Read more

    $5.99 CAD or Free with Kobo Plus

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    by Kristian Kersting, Luc De Raedt, Sriraam Natarajan, David Poole ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in ... Read more

    $57.19 CAD

  • Data-Driven Decisions: An Introduction to Machine Learning

    Technology

    by Nandini K ...
    Series series Technology
    Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model ... Read more

    $39.99 CAD or Free with Kobo Plus

  • An Introduction to Machine Learning

    by Miroslav Kubat ...
    Series series Computer Science (R0)
    This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later ... Read more

    $64.09 CAD

  • Causal Inference with Bayesian Networks

    Build Bayesian Networks and Causal Inference Models with R and Python

    by Yousri El Fattah, Reza Bagheri ...
    Learn Bayesian networks, graphical models, and causal inference for probabilistic reasoning, treatment effect estimation, and decision-making using observational data with hands-on examples in R and Python.Key FeaturesApply Bayesian networks for probabilistic and causal inference.Estimate causal effects from observational data using machine learning.Build practical causal inference workflows in R ... Read more

    $40.79 CAD or Free with Kobo Plus

  • Artificial Intelligence

    A Textbook

    by Charu C. Aggarwal ...
    Series series Computer Science (R0)
    This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories:Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5.Inductive ... Read more

    $76.89 CAD

  • Graphical Models with R

    by Steffen Lauritzen, David Edwards, Søren Højsgaard ...
    Series series Mathematics and Statistics (R0)
    Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new ... Read more

    $102.49 CAD

  • A User’s Guide to Network Analysis in R

    by Douglas Luke ...
    Series series Mathematics and Statistics (R0)
    Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data ... Read more

    $96.09 CAD

  • Computer Analysis of Human Behavior

    Edited by Albert Ali Salah, Theo Gevers ...
    Series series Computer Science (R0)
    This book provides a broad survey of advanced pattern recognition techniques for human behavior analysis. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Features: contains contributions from an international selection of experts in ... Read more

    $64.09 CAD

  • Probabilistic Graphical Models

    Principles and Applications

    by Luis Enrique Sucar ...
    Series series Computer Science (R0)
    This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, ... Read more

    $60.19 CAD