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Classification by Sparse Neural Networks
- 1.0485611 - ÚI 2020 RIV US eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Classification by Sparse Neural Networks.
IEEE Transactions on Neural Networks and Learning Systems. Roč. 30, č. 9 (2019), s. 2746-2754. ISSN 2162-237X. E-ISSN 2162-2388
R&D Projects: GA ČR GA15-18108S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Binary classification * Chernoff–Hoeffding bound * dictionaries of computational units * feedforward networks * measures of sparsity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 8.793, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1109/TNNLS.2018.2888517
Cited: 2
--- LI, Z.M. - ZHANG, Z. - QIN, J. - ZHANG, Z. - SHAO, L. Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, MAR 2020, vol. 31, no. 3, p. 786-800. [WOS]
--- ZHOU, Y.F. - WANG, X. - ZHANG, M.C. - ZHU, J.L. - ZHENG, R.J. - WU, Q.T. MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification. IEEE ACCESS. ISSN 2169-3536, 2019, vol. 7, p. 146331-146341. [WOS]
Permanent Link: http://hdl.handle.net/11104/0280566File Download Size Commentary Version Access 0485611-a.pdf 18 458.9 KB Publisher’s postprint require
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