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1 - 12 de 12 resultados para “jerome busemeyer”
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  • Quantum AI and NLP

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

    Edición de 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 ... Leer más

    $107.99 USD

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  • Why Machines Learn

    The Elegant Math Behind Modern AI

    de 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 ... Leer más

    $13.99 USD

    Disponible también en: Audiolibro

    Disponible también en: Audiolibro

  • Essential Math for AI

    Next-Level Mathematics for Efficient and Successful AI Systems

    de 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 ... Leer más

    $48.99 USD

  • Machine Learning

    A Constraint-Based Approach

    de 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 ... Leer más

    $71.99 USD

  • Graph Structures for Knowledge Representation and Reasoning

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

    Edición de 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 ... Leer más

    Gratis

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

    de 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 ... Leer más

    $106.99 USD

  • Optimization in Engineering Sciences

    Exact Methods

    de 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 ... Leer más

    $144.00 USD

  • Introduction to Online Convex Optimization, second edition

    de 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 ... Leer más

    $36.99 USD

  • Artificial Intelligence for Scientific Discoveries

    Extracting Physical Concepts from Experimental Data Using Deep Learning

    de 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 ... Leer más

    $125.99 USD

  • Geometry of Deep Learning

    A Signal Processing Perspective

    de 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 ... Leer más

    $53.99 USD

  • Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

    Edición de Frank L. Lewis, Derong Liu ...
    Series Libro 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, ... Leer más

    $148.00 USD

  • Machine Learning for Materials Discovery

    Numerical Recipes and Practical Applications

    de N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo ...
    Series series Physics and Astronomy (R0)
    Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a lucid manner to ensure that readers from different materials domains are able to use these techniques ... Leer más

    $179.99 USD