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Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond

The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Scie…

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Machine Learning and Granular Computing: A Synergistic Design Environment

This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC). ML offers a wealth of architectu…

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Elliptically Symmetric Distributions in Signal Processing and Machine Learning

This book constitutes a review of recent developments in the theory and practical exploitation of the elliptical model for measured data in both classical and emerging areas of signal processing. It devel…

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Machine Learning, Image Processing, Network Security and Data Sciences

This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2023, held in Hamirpur, India, during Dec…

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, EC…

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be u…

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, EC…

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Jeffrey A. Fessler, Raj Rao Nadakuditi
Linear Algebra for Data Science, Machine Learning, and Signal Processing

"Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as…

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, EC…

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, EC…

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Advancements in Machine Learning and Natural Language Processing: Innovations and Applications

This book discovers groundbreaking advancements in artificial intelligence with innovative solutions for real-world challenges. This book showcases state-of-the-art methodologies like deep learning and tr…

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Advances in Neural Computation, Machine Learning, and Cognitive Research VIII

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wid…

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, EC…

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Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications

This book contains applications to various health-related problems, from designing and maintaining a proper diet to enhancing hygiene to analysis of mammograms and left-right brain activity to treating di…

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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on…

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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on…

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Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent a…

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science specifically in continuum physics. It develops the foundations and details a num…

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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