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Showing 1 - 12 of 12 results for “emmanuel mazer”
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  • Bayesian Programming

    by Pierre Bessiere, Emmanuel Mazer, Juan Ahuactzin, Kamel Mekhnacha ...
    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It emphasizes probability as an alternative to Boolean logic, covering new methods to build probabilistic programs for real-world ... Read more

    $55.99 USD

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  • Understanding Machine Learning

    From Theory to Algorithms

    by Shai Shalev-Shwartz, Shai Ben-David ...
    Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical ... Read more

    $61.99 USD

  • 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

    $73.99 USD

  • Foundations of Statistical Natural Language Processing

    by Christopher Manning, Hinrich Schutze ...
    Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as ... Read more

    $77.99 USD

  • Foundations of Software Science and Computation Structures

    21st International Conference, FOSSACS 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, April 14–20, 2018. Proceedings

    Edited by Christel Baier, Ugo Dal Lago ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 21st International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2018, which took place in Thessaloniki, Greece, in April 2018, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2018.The 31 papers presented in this volume were carefully reviewed and selected from 103 submissions ... Read more

    Free

  • Foundations of Software Science and Computation Structures

    26th International Conference, FoSSaCS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings

    Edited by Orna Kupferman, Pawel Sobocinski ...
    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes the proceedings of the 26th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2023, which was held during April 22-27, 2023, in Paris, France, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023.The 26 regular papers presented in this volume were carefully reviewed and selected ... Read more

    Free

  • Introduction to Artificial Intelligence

    Translated by Nathanael T. Black ...
    by Wolfgang Ertel ...
    Series 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 ... Read more

    $31.99 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

    $28.99 USD

  • Automated Deduction – CADE 28

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

    Edited by André Platzer, Geoff Sutcliffe ...
    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

    Free

  • Introduction to Artificial Intelligence

    by Wolfgang Ertel ...
    Translated by Nathanael T. Black ...
    Series series Artificial Intelligence (R0)
    This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully ... Read more

    $49.99 USD

  • Learning Bayesian Models with R

    Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

    by Hari Manassery Koduvely ...
    Key FeaturesBook DescriptionBayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian ... Read more

    $27.99 USD or Free with Kobo Plus

  • Foundations of Software Science and Computation Structures

    22nd International Conference, FOSSACS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6–11, 2019, Proceedings

    Edited by Mikołaj Bojańczyk, Alex Simpson ...
    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes the proceedings of the 22nd International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2019, which took place in Prague, Czech Republic, in April 2019, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2019.The 29 papers presented in this volume were carefully reviewed and selected from ... Read more

    Free