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Artificial Intelligence XXXVI : 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17-19, 2019, Proceedings / edited by Max Bramer, Miltos Petridis.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 11927.
- Lecture Notes in Artificial Intelligence ; 11927
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computers.
- Algorithms.
- Pattern perception.
- Computer networks.
- Artificial Intelligence.
- Information Systems and Communication Service.
- Algorithm Analysis and Problem Complexity.
- Pattern Recognition.
- Computer Communication Networks.
- Local Subjects:
- Artificial Intelligence.
- Information Systems and Communication Service.
- Algorithm Analysis and Problem Complexity.
- Pattern Recognition.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (XV, 502 pages) : 169 illustrations, 50 illustrations in color.
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 39th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2019, held in Cambridge, UK, in December 2019. The 29 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 49 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: machine learning; knowledge discovery and data mining; agents, knowledge acquisition and ontologies; medical applications; applications of evolutionary algorithms; machine learning for time series data; applications of machine learning; and knowledge acquisition.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-34885-4
- 9783030348854
- Access Restriction:
- Restricted for use by site license.
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