Thomas Villmann, Marika Kaden, Mehrdad Mohannazadeh Bakhtiari, Andrea Villmann. Appropriate Data Density Models in Probabilistic Machine Learning Approaches for Data Analysis. In Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II. Volume 11509 of Lecture Notes in Computer Science, pages 443-454, Springer, 2019. [doi]
@inproceedings{VillmannKBV19,
title = {Appropriate Data Density Models in Probabilistic Machine Learning Approaches for Data Analysis},
author = {Thomas Villmann and Marika Kaden and Mehrdad Mohannazadeh Bakhtiari and Andrea Villmann},
year = {2019},
doi = {10.1007/978-3-030-20915-5_40},
url = {https://doi.org/10.1007/978-3-030-20915-5_40},
researchr = {https://researchr.org/publication/VillmannKBV19},
cites = {0},
citedby = {0},
pages = {443-454},
booktitle = {Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II},
editor = {Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M. Zurada},
volume = {11509},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-20915-5},
}