Machine Learning under Resource Constraints. Discovery in Physics /

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Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Morik, Katharina (Editor ), Rhode, Wolfgang (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : De Gruyter, [2022]
Colección:De Gruyter STEM ; Volume 2
Temas:
Artificial intelligence.
Big Data.
Eingebettete Systeme.
Künstliche Intelligenz.
Maschinelles Lernen.
Intelligence artificielle.
artificial intelligence.
SCIENCE / Chemistry / General.
Artificial intelligence
Artificial Intelligence.
Big Data and Machine Learning.
Cyber-physical systems.
Data mining for Ubiquitous System Software.
Embedded Systems and Machine Learning.
Highly Distributed Data.
ML on Small devices.
Machine learning for knowledge discovery.
Machine learning in high-energy physics.
Resource-Aware Machine Learning.
Resource-Constrained Data Analysis.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Frontmatter
  • Contents
  • 1 Introduction
  • 2 Challenges in Particle and Astroparticle Physics
  • 3 Key Concepts in Machine Learning and Data Analysis
  • 4 Data Acquisition and Data Structure
  • 5 Monte Carlo Simulations
  • 6 Data Storage and Access
  • 7 Monitoring and Feature Extraction
  • 8 Event Property Estimation and Signal Background Separation
  • 9 Deep Learning Applications
  • 10 Inverse Problems
  • Bibliography
  • Index
  • List of Contributors

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