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  • A History of Fake Things on the Internet

    A Next Big Idea Club "Must Read" for December 2023As all aspects of our social and informational lives increasingly migrate online, the line between what is "real" and what is digitally fabricated grows ever thinner—and that fake content has undeniable real-world consequences. A History of Fake Things on the Internet takes the long view of how advances in technology brought us to the point where ... Read more

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  • A Unifying Framework for Formal Theories of Novelty

    Discussions, Guidelines, and Examples for Artificial Intelligence

    Series series Synthesis Collection of Technology (R0)
    This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple ... Read more

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    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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  • Computer Aided Verification

    31st International Conference, CAV 2019, New York City, NY, USA, July 15-18, 2019, Proceedings, Part I

    Edited by Isil Dillig, Serdar Tasiran ...
    Series Book 1 - Springer Nature Proceedings Computer Science
    This open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019.The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical ... Read more

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  • Introduction to Deep Learning

    From Logical Calculus to Artificial Intelligence

    by Sandro Skansi ...
    Series series Computer Science (R0)
    This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional ... Read more

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  • Handbook of Computational Statistics

    Concepts and Methods

    Series series Mathematics and Statistics (R0)
    The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It ... Read more

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  • Handbook On Reasoning-based Intelligent Systems, The

    This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally. ... Read more

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  • Artificial General Intelligence

    9th International Conference, AGI 2016, New York, NY, USA, July 16-19, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016.The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI ... Read more

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  • Advances in Intelligent Data Analysis XIV

    14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed conference proceedings of the 14th International Conference on Intelligent Data Analysis, which was held in October 2015 in Saint Étienne. France. The 29 revised full papers were carefully reviewed and selected from 65 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The symposium aims to ... Read more

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  • Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III

    Series Book 3 - Springer Nature Proceedings Computer Science
    The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.The 210 full papers presented in these ... Read more

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  • Convolutional Neural Networks in Visual Computing

    A Concise Guide

    Series series Data-Enabled Engineering
    This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand ... Read more

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