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  • Computational Exome and Genome Analysis

    Series series Chapman & Hall/CRC Computational Biology Series
    Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics. Computational Exome and Genome Analysis provides a practical introduction to all of the major areas in the field, enabling readers to develop a comprehensive understanding of the sequencing ... Read more

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  • Introduction to Bio-Ontologies

    Series series Chapman & Hall/CRC Computational Biology Series
    Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications.The first part of the book defines ontology and bio-ontologies. It also explains the importan ... Read more

    $63.99 USD

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  • Artificial Intelligence

    With an Introduction to Machine Learning, Second Edition

    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

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  • 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

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  • Building Ontologies with Basic Formal Ontology

    An introduction to the field of applied ontology with examples derived particularly from biomedicine, covering theoretical components, design practices, and practical applications.In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical ... Read more

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  • Knowledge Representation and Reasoning

    Series series The Morgan Kaufmann Series in Artificial Intelligence
    Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated ... Read more

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  • The Handbook of Computational Linguistics and Natural Language Processing

    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

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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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  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    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

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  • Automated Deduction – CADE 28

    28th International Conference on Automated Deduction, Virtual Event, July 12–15, 2021, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes the proceeding of the 28th International Conference on Automated Deduction, CADE 28, held virtually in July 2021.The 29 full papers and 7 system descriptions presented together with 2 invited papers were carefully reviewed and selected from 76 submissions. CADE is the major forum for the presentation of research in all aspects of automated deduction, including ... Read more

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  • Edsger Wybe Dijkstra

    His Life, Work, and Legacy

    Series series ACM Books
    Edsger Wybe Dijkstra (1930–2002) was one of the most influential researchers in the history of computer science, making fundamental contributions to both the theory and practice of computing. Early in his career, he proposed the single-source shortest path algorithm, now commonly referred to as Dijkstra’s algorithm. He wrote (with Jaap Zonneveld) the first ALGOL 60 compiler, and designed and ... Read more

    $64.79 USD

  • Spoken Language Understanding

    Systems for Extracting Semantic Information from Speech

    Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in ... Read more

    $139.00 USD