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Showing 1 - 12 of 12 results for “jerome busemeyer”
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  • Quantum AI and NLP

    First International Conference, QNLPAI 2025, Bloomington, IN, USA, August 6–9, 2025, Proceedings

    Edited by Damir Cavar, Vaneet Aggarwal, Jerome Busemeyer, Samuel Yen-Chi Chen ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the First International Conference on Quantum AI and NLP, QNIP 2025, held in Bloomington, Indianna, USA, during August 6–9, 2025.The 17 full papers, one short paper and one abstract included in this volume were carefully reviewed and selected from 45 submissions. They were organized in following topical sections: Artificial Intelligence for Quantum ... Read more

    $107.09 USD

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  • Why Machines Learn

    The Elegant Math Behind Modern AI

    by Anil Ananthaswamy ...
    A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study ... Read more

    $14.99 USD

    Also available as: Audiobook

    Also available as: Audiobook

  • Essential Math for AI

    Next-Level Mathematics for Efficient and Successful AI Systems

    by Hala Nelson ...
    Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.Engineers, data scientists, and students alike will examine ... Read more

    $48.99 USD

  • Machine Learning

    A Constraint-Based Approach

    by Marco Gori ...
    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Read more

    $71.09 USD

  • Deep Learning For Physics Research

    by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt ...
    A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Read more

    $35.99 USD

  • Graph Structures for Knowledge Representation and Reasoning

    6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers

    Edited by Michael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph ...
    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.The 7 revised full papers presented together with 2 invited contributions were reviewed ... Read more

    Free

  • Mathematics Of Autonomy: Mathematical Methods For Cyber-physical-cognitive Systems

    by Vladimir G Ivancevic, Darryn J Reid, Michael J Pilling ...
    Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world ... Read more

    $106.19 USD

  • Optimization in Engineering Sciences

    Exact Methods

    by Pierre Borne, Dumitru Popescu, Dan Stefanoiu, Florin Gheorghe Filip ...
    The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the European Union project – ERRIC (Empowering Romanian Research on Intelligent Information Technologies), funded by the EU’s FP7 Research Potential program and developed in cooperation between French and Romanian teaching researchers.Through the principles of ... Read more

    $144.00 USD

  • Introduction to Online Convex Optimization, second edition

    by Elad Hazan ...
    Series series Adaptive Computation and Machine Learning series
    New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization ... Read more

    $36.99 USD

  • Artificial Intelligence for Scientific Discoveries

    Extracting Physical Concepts from Experimental Data Using Deep Learning

    by Raban Iten ...
    Series series Physics and Astronomy (R0)
    Will research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. The focus of the book is the automation of ... Read more

    $125.99 USD

  • Geometry of Deep Learning

    A Signal Processing Perspective

    by Jong Chul Ye ...
    Series series Mathematics and Statistics (R0)
    The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined.To support this ... Read more

    $53.99 USD

  • Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

    Edited by Frank L. Lewis, Derong Liu ...
    Series Book 17 - IEEE Press Series on Computational Intelligence
    Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, ... Read more

    $148.00 USD