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Modeling, Machine Learning and Astronomy -

Modeling, Machine Learning and Astronomy

First International Conference, MMLA 2019, Bangalore, India, November 22–23, 2019, Revised Selected Papers
Buch | Softcover
185 Seiten
2021 | 1st ed. 2020
Springer Verlag, Singapore
978-981-336-462-2 (ISBN)
CHF 74,85 inkl. MwSt
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. machine learning applications;
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.

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

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science ; 1290
Zusatzinfo 80 Illustrations, color; 20 Illustrations, black and white; XII, 185 p. 100 illus., 80 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Schulbuch / Wörterbuch Unterrichtsvorbereitung Unterrichts-Handreichungen
Informatik Office Programme Outlook
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Sozialwissenschaften Pädagogik
Schlagworte Applications • Artificial Intelligence • classification • Classification methods • classification models • Computer Science • Computer systems • computer vision • conference proceedings • Correlation Analysis • evolutionary algorithms • Genetic algorithms • Image Analysis • Image Processing • Informatics • machine learning • Optimization • Research • Signal Processing
ISBN-10 981-336-462-9 / 9813364629
ISBN-13 978-981-336-462-2 / 9789813364622
Zustand Neuware
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