Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
Author | : Igor V. Tetko |
Publisher | : Springer Nature |
Total Pages | : 775 |
Release | : 2019-09-09 |
ISBN-10 | : 9783030304904 |
ISBN-13 | : 3030304906 |
Rating | : 4/5 (906 Downloads) |
Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.