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  • Neuro Symbolic Reasoning and Learning

    Collections series Computer Science (R0)
    This book provides a broad overview of the key results and frameworks for various NSAI tasks as well as discussing important application areas. This book also covers neuro symbolic reasoning frameworks such as LNN, LTN, and NeurASP and learning frameworks. This would include differential inductive logic programming, constraint learning and deep symbolic policy learning. Additionally, application ... En savoir plus

    $70.99 CAD

  • Advances in Multimodal Information Retrieval and Generation

    Collections series Synthesis Collection of Technology (R0)
    This book provides an extensive examination of state-of-the-art methods in multimodal retrieval, generation, and the pioneering field of retrieval-augmented generation. The work is rooted in the domain of Transformer-based models, exploring the complexities of blending and interpreting the intricate connections between text and images. The authors present cutting-edge theories, methodologies, and ... En savoir plus

    $70.99 CAD

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  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition ... En savoir plus

    $67.99 CAD

  • Foundation Models for Natural Language Processing

    Pre-trained Language Models Integrating Media

    Collections series Computer Science (R0)
    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to ... En savoir plus

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  • Multimedia Information Extraction

    Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring

    par Mark T. Maybury ...
    The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and ... En savoir plus

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  • Visual Attributes

    Collections series Computer Science (R0)
    This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged ... En savoir plus

    $115.29 CAD

  • Mobile Speech and Advanced Natural Language Solutions

    Modifié par Amy Neustein, Judith A. Markowitz ...
    Collections series Engineering (R0)
    "Mobile Speech and Advanced Natural Language Solutions" presents the discussion of the most recent advances in intelligent human-computer interaction, including fascinating new study findings on talk-in-interaction, which is the province of conversation analysis, a subfield in sociology/sociolinguistics, a new and emerging area in natural language understanding. Editors Amy Neustein and Judith A. ... En savoir plus

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  • Introduction to Artificial Intelligence

    Traduit par Nathanael T. Black ...
    par Wolfgang Ertel ...
    Collections series Computer Science (R0)
    This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands ... En savoir plus

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  • Neural Network Methods in Natural Language Processing

    Collections 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. ... En savoir plus

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  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    Collections 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 ... En savoir plus

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  • Text Entry Systems

    Mobility, Accessibility, Universality

    Text Entry Systems covers different aspects of text entry systems and offers prospective researchers and developers global guidelines for conducting research on text entry, in terms of design strategy, evaluation methodology, and requirements; a discussion of the history and current state of the art of entry systems; and specific guidelines for designing entry systems for a specific target, ... En savoir plus

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  • Pattern Recognition and Machine Learning

    par Y. Anzai ...
    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the ... En savoir plus

    $64.99 CAD