Machine Learning Methodologies – alle Bücher

Constrained Control and Machine Learning

Internet of Things

This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. Th…

lieferbar innerhalb 2-3 Wochen

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Graph Neural Network Training

Machine Learning: Foundations, Methodologies, and Applications

Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, a…

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Yang Yu, Hong Qian, Yi-Qi Hu
Derivative-Free Optimization

Machine Learning: Foundations, Methodologies, and Applications

This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and opti…

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Huaping Liu, Xinzhu Liu, Kangyao Huang, Di Guo
Embodied Multi-Agent Systems

Machine Learning: Foundations, Methodologies, and Applications

In recent years, embodied multi-agent systems, including multi-robots, have emerged as essential solution for demanding tasks such as search and rescue, environmental monitoring, and space exploration. Ef…

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Jeremiah D. Deng
Machine Learning with Julia

Machine Learning: Foundations, Methodologies, and Applications

This textbook offers a comprehensive and accessible introduction to machine learning with the Julia programming language. It bridges mathematical theory and real-world practice, guiding readers through bo…

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Yanghui Rao, Qing Li
Topic Modeling

Machine Learning: Foundations, Methodologies, and Applications

As a well-known text mining tool, topic modeling can effectively discover the latent semantic structure of text data. Extracting topics from documents is also one of the fundamental challenges in natural …

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Fengxiang He, Dacheng Tao
Foundations of Deep Learning

Machine Learning: Foundations, Methodologies, and Applications

Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. The excellent generalizability of deep learning is like a &…

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Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Vinay Kumar Jadoun
Renewable-Focused Operation and Control of Contemporary Power Systems

Power Engineering, Energy and Smart Technologies

This book offers a practical, implementation-ready guide to operating and controlling contemporary power systems with high renewable energy penetration. It addresses real-world challenges such as frequenc…

lieferbar ab 10.12.2026.

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Artificial Intelligence and Cognitive Sciences for Emerging Technologies

Lecture Notes in Networks and Systems - Band 1781

This book presents cutting-edge research and insights at the intersection of artificial intelligence, cognitive sciences, and emerging technologies. Through diverse research papers and case studies, it ex…

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Artificial Intelligence and Cognitive Sciences for Emerging Technologies

Lecture Notes in Networks and Systems - Band 1733

This book presents cutting-edge research and insights at the intersection of artificial intelligence, cognitive sciences, and emerging technologies. Through diverse research papers and case studies, it ex…

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Computational Intelligent Systems

Infosys Science Foundation Series

This book contains select chapters on a broad spectrum of topics on artificial intelligence, machine learning, and computational methodologies. Presented at the 3rd International Conference on Computation…

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