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  • Quantum Models of Cognition and Decision

    Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modeling probabilistic-dynamic systems using two aspects of quantum ... Leer más

    $50.99 USD

  • Cognitive Choice Modeling

    The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior.Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity. Yet cognitive ... Leer más

    $39.99 USD

  • Quantum AI and NLP

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

    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

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  • Why Machines Learn

    The Elegant Math Behind Modern AI

    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

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  • Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

    This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples.The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that ... Leer más

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  • 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

  • Microeconometrics

    Methods and Applications

    This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics ... Leer más

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  • 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

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  • Sampling Statistics

    Series Libro 560 - Wiley Series in Survey Methodology
    Discover the latest developments and current practices in survey samplingSurvey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the design of experiments. Sampling Statistics presents ... Leer más

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  • Graph Structures for Knowledge Representation and Reasoning

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

    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

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  • New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

    Series series Quantitative Methodology Series
    Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical ... Leer más

    $82.99 USD

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

    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

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