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)
53,49 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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