Modeling, Machine Learning and Astronomy [electronic resource] : First International Conference, MMLA 2019, Bangalore, India, November 22–23, 2019, Revised Selected Papers /

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Material type: Text

TextSeries: Communications in Computer and Information Science ; 1290Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XII, 185 p. 100 illus., 80 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789813364639

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

Modeling and Foundations -- Machine Learning Applications -- Astronomy and Astroinformatics.

In: Springer Nature eBookSummary: This book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held in Bangalore, India, in November 2019. The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 63 submissions. They are organized in topical sections on modeling and foundations; machine learning applications; astronomy and astroinformatics.

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Modeling and Foundations -- Machine Learning Applications -- Astronomy and Astroinformatics.

This book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held in Bangalore, India, in November 2019. The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 63 submissions. They are organized in topical sections on modeling and foundations; machine learning applications; astronomy and astroinformatics.

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