Complexity Of Machine Learning – alle Bücher

Social Internet of Things (SIoT) and Machine Learning-Enhancing Interconnectivity and Intelligence

This book offers readers an innovative perspective on how intelligent networks can evolve beyond simple device-to-device communication, enabling social interaction, adaptive learning, and predictive intel…

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Resve A Saleh, Sohaib Majzoub, A K MD Ehsanes Saleh
Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science.In recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming…

lieferbar in mind. 4 Wochen

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Philosophy of Science for Machine Learning

This open access book offers a comprehensive and systematic debate on the key concepts and areas of application of the philosophy of science for machine learning. The current landscape of the debate about…

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Machine Learning Perspectives of Agent-Based Models

Agent-Based Models and the Economics of Crisis.- The Machine Learning perspective.- Setting up Agent-Based Models of Crisis (Microeconomic Model of Crisis; Virus on a Network Spread Model).- Developing mo…

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Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

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Juan Pablo Pardo-Guerra,
The Oxford Handbook of the Sociology of Machine Learning

This volume is the first comprehensive collection of essays exploring machine learning from a sociological perspective. It offers a thorough introduction to various forms of machine learning and features …

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Benedikt Sterr
Machine learning aided multiscale mechanics of fiber suspensions

We present a Fast-Fourier-Transform (FFT) based computational approach to computing the viscous stress response of rigid fibers suspended in a non-Newtonian medium. We identify closed-form models for the …

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Proceedings of 17th International Conference on Machine Learning and Computing

This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, …

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Proceedings of 17th International Conference on Machine Learning and Computing

This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, …

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon,…

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Ali Kaveh
Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

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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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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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Jona Motta
Development of Machine Learning ¿ Trigger Algorithms and Search for Higgs Boson Pair Production

Higgs boson pair production theoretical motivation.- The Compact Muon Solenoid at the Large Hadron Collider.- The Level-1 τh trigger: from the past, to the present.- The Level-1 τh trigger: from the prese…

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Proceedings of the Third ICMDS'24: Machine Learning, Inverse Problems and Related Fields

This book offers innovative insights into the integration of machine learning and inverse problems, showcasing cutting-edge methodologies that enhance computational efficiency and accuracy. By leveraging …

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David A Wood
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for su…

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Crowd Dynamics, Volume 5

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineeri…

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Christian Morten Schierholz
Methods of Machine Learning for Analysis and Decoupling of Power Delivery Networks on Printed Circuit Boards

Berichte aus der Elektrotechnik

Increasing challenges in the design process of power delivery networks on printed circuit boards require new and adapted tools. Therefore, in this thesis artificial neural networks are investigated to enh…

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Proceedings of the 4th International Conference on Machine Learning, Cloud Computing and Intelligent Mining (Mlccim2025)

This book contains the selected proceedings of the 2025 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, held in Mohe, China, July 21-25, 2025. The conference explores…

lieferbar ab 24.3.2026.

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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