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eNauka >  Results >  Software package for regression algorithms based on Gaussian Conditional Random Fields
Title: Software package for regression algorithms based on Gaussian Conditional Random Fields
Authors: Marković, T.; Devedžić, Vladan  ; Zhou, F.; Obradović, Zoran
Issue Date: 2022
Publication: Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Type: Conference Paper
Collation: str. 1121-1128
DOI: 10.1109/ICMLA55696.2022.00184
WoS-ID: 000980994900173
Scopus-ID: 2-s2.0-85152213930
URI: https://rfos.fon.bg.ac.rs/handle/123456789/2414
https://enauka.gov.rs/handle/123456789/778245
Project: This work is supported in part by the U.S. NSF award CNS-212598, and the ARL subaward 555080-78055 under Prime Contract No. W911NF2220001, and U.S. Army Corp of Engineers Engineer Research and Development Center under Cooperative Agreement W9132V-22-2-000
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