Accelerated inexact matrix completion algorithm via closed-form q-thresholding $$(q = 1/2, 2/3)$$ operator
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-020-01121-7.pdf
Reference51 articles.
1. Rennie J, Srebro N (2005) Fast maximum margin matrix factorization for collaborative prediction. In: Proceedings of the 22nd international conference on machine learning (ICML-05), pp 713–719
2. Koren Y (2008) Factorization meets the neighborhood: A multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 426–434
3. Li X, Wang Z, Gao C, Shi L (2017) Reasoning human emotional responses from large-scale social and public media. Appl Math Comput 310:128–193
4. Peng X, Zhang Y, Tang H (2016) A unified framework for representation-based subspace clustering of out-of-sample and large-scale data. IEEE Trans Neural Netw Learn Syst 27(12):2499–2512
5. Yang L, Nie F, Gao Q (2018) Nuclear-norm based semi-supervised multiple labels learning. Neurocomputing 275:940–947
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