1 option
Modeling, Machine Learning and Astronomy : First International Conference, MMLA 2019, Bangalore, India, November 22-23, 2019, Revised Selected Papers / edited by Snehanshu Saha, Nithin Nagaraj, Shikha Tripathi.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1290
- Communications in Computer and Information Science, 1865-0937 ; 1290
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Social sciences-Data processing.
- Education-Data processing.
- Computer networks.
- Computer science-Mathematics.
- Artificial Intelligence.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computer Communication Networks.
- Mathematics of Computing.
- Local Subjects:
- Artificial Intelligence.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computer Communication Networks.
- Mathematics of Computing.
- Physical Description:
- 1 online resource (XII, 185 pages) : 100 illustrations, 80 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Modeling and Foundations
- Machine Learning Applications
- Astronomy and Astroinformatics.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-33-6463-9
- 9789813364639
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.