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Showing 1 - 12 of 12 results for “gerardo i simari”
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  • Data-driven Generation of Policies

    by Gerardo I. Simari, V.S. Subrahmanian, Amy Sliva, Austin Parker ...
    Series series Computer Science (R0)
    This Springer Brief presents a basic algorithm that provides a correct solution to finding an optimal state change attempt, as well as an enhanced algorithm that is built on top of the well-known trie data structure. It explores correctness and algorithmic complexity results for both algorithms and experiments comparing their performance on both real-world and synthetic data. Topics addressed ... Read more

    $49.49 USD

  • Ontology-Based Data Access Leveraging Subjective Reports

    by Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu ...
    Series series Computer Science (R0)
    This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as ... Read more

    $49.49 USD

  • Artificial Intelligence Tools for Cyber Attribution

    by Eric Nunes, Paulo Shakarian, Gerardo I. Simari, Andrew Ruef ...
    Series series Computer Science (R0)
    This SpringerBrief discusses how to develop intelligent systems for cyber attribution regarding cyber-attacks. Specifically, the authors review the multiple facets of the cyber attribution problem that make it difficult for “out-of-the-box” artificial intelligence and machine learning techniques to handle.Attributing a cyber-operation through the use of multiple pieces of technical evidence (i.e., ... Read more

    $49.49 USD

  • Neuro Symbolic Reasoning and Learning

    by Paulo Shakarian, Chitta Baral, Gerardo I. Simari, Bowen Xi, Lahari Pokala ...
    Series 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 ... Read more

    $53.99 USD

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  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    by Nithin Buduma, Nikhil Buduma, Joe Papa ...
    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 ... Read more

    $48.99 USD

  • 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

    $31.49 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

  • 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

  • Pattern Recognition and Machine Learning

    by 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 ... Read more

    $65.69 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

  • Computer Aided Verification

    32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21–24, 2020, Proceedings, Part II

    Edited by Shuvendu K. Lahiri, Chao Wang ...
    Series Book 2 - Springer Nature Proceedings Computer Science
    The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.*The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical ... Read more

    Free

  • Computer Aided Verification

    33rd International Conference, CAV 2021, Virtual Event, July 20–23, 2021, Proceedings, Part I

    Edited by Alexandra Silva, K. Rustan M. Leino ...
    Series Book 1 - Springer Nature Proceedings Computer Science
    This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021.The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections:Part ... Read more

    Free