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“frederic alexandre”

Showing 1 - 12 of 12 results for “frederic alexandre”
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  • Connectionist-Symbolic Integration

    From Unified to Hybrid Approaches

    Edited by Ron Sun, Frederic Alexandre ...
    A variety of ideas, approaches, and techniques exist -- in terms of both architecture and learning -- and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and ... Read more

    $82.99 USD

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  • Artificial Intelligence

    A New Synthesis

    by Nils J. Nilsson ...
    Series series The Morgan Kaufmann Series in Artificial Intelligence
    Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language ... Read more

    $73.79 USD

  • Neural Network Methods in Natural Language Processing

    by Yoav Goldberg, Graeme Hirst ...
    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

    $53.99 USD

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    by Jonas Peters, Dominik Janzing, Bernhard Scholkopf ...
    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

    $27.99 USD

  • Cluster Analysis

    by Brian S. Everitt, Sabine Landau, Morven Leese, Daniel Stahl ...
    Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.This fifth edition of the highly ... Read more

    $81.00 USD

  • Markov Logic

    An Interface Layer for Artificial Intelligence

    by Pedro Domingos, Daniel Lowd, Ronald Brachman, William W. Cohen, Peter Stone ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface ... Read more

    $28.79 USD

  • The Handbook of Computational Linguistics and Natural Language Processing

    Edited by Alexander Clark, Chris Fox, Shalom Lappin ...
    Series series Blackwell Handbooks in Linguistics
    This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering ... Read more

    $46.00 USD

  • Exponential Random Graph Models for Social Networks

    Theory, Methods, and Applications

    Edited by Dean Lusher, Johan Koskinen, Garry Robins ...
    Series Book 35 - Structural Analysis in the Social Sciences
    Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence ... Read more

    $38.59 USD

  • Cognitive Assessment

    An Introduction to the Rule Space Method

    by Kikumi K. Tatsuoka ...
    Series series Multivariate Applications Series
    This book introduces a new methodology for the analysis of test results. Free from ambiguous interpretations, the results truly demonstrate an individual’s progress. The methodology is ideal for highlighting patterns derived from test scores used in evaluating progress. Dr. Tatsuoka introduces readers to the Rule Space Method (RSM), a technique that transforms unobservable knowledge and skill ... Read more

    $87.99 USD

  • 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

    $49.49 USD

  • 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

    $46.79 USD

  • Introducing Language and Cognition

    A Map of the Mind

    by Michael Sharwood Smith ...
    In this accessible introduction, Mike Sharwood Smith provides a working model or 'map' of the mind, with language as its centrepiece. Drawing on cutting-edge research across linguistics, psychology and neuroscience, it allows students to quickly grasp how each separate aspect of the mind's operations can be related. This 'big picture' view includes the way the mind makes, stores and loses memories ... Read more

    $34.49 USD