Machine Learning under Resource Constraints. Volume 2, Machine Learning under Resource Constraints - Discovery in Physics

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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Bibliographic Details
Corporate Author:	Walter de Gruyter & Co
Other Authors:	Morik, Katharina (Editor), Rhode, Wolfgang (Editor)
Format:	eBook
Language:	English
Language Notes:	In English.
Published:	Berlin Boston De Gruyter, [2022]
Series:	De Gruyter STEM
Subjects:	COM018000 COMPUTERS / Data Processing. COMPUTERS / Database Management / Data Mining. COMPUTERS / Information Technology. COMPUTERS / Programming / Algorithms. Künstliche Intelligenz Maschinelles Lernen Eingebettete Systeme Big Data Resource-Constrained Data Analysis Resource-Aware Machine Learning Embedded Systems and Machine Learning Big Data and Machine Learning Artificial Intelligence Highly Distributed Data ML on Small devices Data mining for Ubiquitous System Software Cyber-physical systems Machine learning in high-energy physics Machine learning for knowledge discovery Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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