The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.
The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.
Intelligence Science and Big Data Engineering. Big Data and Machine Learning: 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, Proceedings, Part II
455
Intelligence Science and Big Data Engineering. Big Data and Machine Learning: 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, Proceedings, Part II
455Paperback(1st ed. 2019)
Product Details
| ISBN-13: | 9783030362034 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 11/29/2019 |
| Series: | Lecture Notes in Computer Science , #11936 |
| Edition description: | 1st ed. 2019 |
| Pages: | 455 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |