Model-based Reinforcement Learning – alle Bücher

Model-Based Reasoning, Abductive Cognition, Creativity

This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important, innovative, and possibly creative changes in theorie…

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An Introduction to Model-Based Cognitive Neuroscience

The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field provide tutorial-style chapters that explain particular techniq…

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Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis

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Generative Machine Learning Models in Medical Image Computing

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book pres…

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent a…

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Machine Learning Models and Architectures for Biomedical Signal Processing

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates …

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Guillaume Mercère
Data Driven Model Learning for Engineers

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate th…

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Federated Learning in the Age of Foundation Models - FL 2024 International Workshops

This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume f…

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Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach

Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of …

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Brian Levy, Keith Waters
Chasin' the Sound

In Chasin' the Sound: Learning Jazz Improvisation through Historical Models , authors Brian Levy and Keith Waters use solos by famous jazz musicians to outline a melodic and rhythmic vocabulary of jazz im…

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

"Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those movin…

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Brian Levy, Keith Waters
Chasin' the Sound

In Chasin' the Sound: Learning Jazz Improvisation through Historical Models , authors Brian Levy and Keith Waters use solos by famous jazz musicians to outline a melodic and rhythmic vocabulary of jazz im…

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Dirk Ifenthaler, David C. Gibson
Computational Learning Theories

This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by …

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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)

This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congr…

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Artificial Intelligence

Intelligent Computing - Band 1

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science me…

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João Manuel R. S. Tavares, Diogo R. M. Bastos
Advances in Gait-Based Identification

This book provides a systematic review of gait-based person identification, categorizing studies into deep-learning and non-deep-learning approaches while analyzing key datasets and performance metrics. I…

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Bio-Inspired Computing

This book presents 53 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 1…

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