Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Satya Krishna Nunna"'
Publikováno v:
2022 7th International Conference on Communication and Electronics Systems (ICCES).
Publikováno v:
Sādhanā. 46
Multiple-instance learning (MIL) is a weakly supervised learning paradigm in which a training dataset contains a set of labeled bags, and each bag contains multiple number of unlabeled instances. Preparation of instance-level labels is resource inten
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783030661861
MIKE
MIKE
Machine learning algorithms based on semi-supervised strategies have drawn the attention of researchers due to their ability to work with limited labeled data making use of huge number of unlabeled samples. Graph based semi-supervised algorithms make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4e690b64d17da107b3a1c12b9bcddc8
https://doi.org/10.1007/978-3-030-66187-8_5
https://doi.org/10.1007/978-3-030-66187-8_5
Autor:
Nunna, Satya Krishna1,2 (AUTHOR), Bhattu, S Nagesh3 (AUTHOR) nageshbhattu@nitandhra.ac.in, Somayajulu, D V L N1,4 (AUTHOR), Kumar, N V Narendra2 (AUTHOR)
Publikováno v:
Sādhanā: Academy Proceedings in Engineering Sciences. Sep2021, Vol. 46 Issue 3, p1-25. 25p.
This book constitutes the refereed conference proceedings of the 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019, held in Goa, India, in December 2019. The 31 full papers were carefully reviewed and selected f