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Jakob Behnke
Automatische Optimierung von Audiosignalen für Transkription mit Evolutionären Algorithmen und Machine Learning

BestMasters

In diesem Buch wird die Empfindlichkeit des Automatic Speech Recognition-Werkzeugs Whisper auf Störgeräusche untersucht. Hierbei werden unterschiedliche Geräuschtypen in verschiedenen Lautstärken untersuc…

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Buch

Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Buch

Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems.In Data Without L…

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Buch

Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Buch

Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Introduction.- Introduction to Human Activity Recognition, Fall Monitoring and Detection, Health monitoring.- Fundamental concepts.- Machine Learning in Human Activity Recognition using Smartphone Sensors…

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Buch

Massih-Reza Amini
Advanced Supervised and Semi-supervised Learning

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been exp…

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Buch

Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications

"Dedication.- Acknowledgments.- Foreword.- Preface.- About This Book.- Acronyms.- 1".- " Introduction to Intelligent Systems".- "2. The Evolution of Artificial Intelligence".…

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Buch

Yong Zhou, Wenzhi Fang, Yuanming Shi, Khaled B. Letaief
Federated Edge Learning

This book presents various effective schemes from the perspectives of algorithms, architectures, privacy, and security to enable scalable and trustworthy Federated Edge Learning (FEEL). From the algorithm…

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Buch

Hang Wang, Sen Lin, Junshan Zhang
Continual and Reinforcement Learning for Edge AI

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

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Buch

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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Buch

Optimization, Learning Algorithms and Applications

The two-volume set CCIS 2617 and 2618 constitutes the refereed post-conference proceedings of the 5th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2025, held in Ses…

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Optimization, Learning Algorithms and Applications

.- Optimization in the SDG context. .- Application of Continuous and Periodic Review Models to Optimize Inventory Management in Dynamic Demand Scenarios. .- Social Context in Fake News Diffusion. .- Integ…

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Buch

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