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Sample Reduction for Support Vector Data Description (SVDD)..:

, In: Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing,

Pareek, Pratyush ; Bhardwaj, Aaryan ; Patro, Sanskar... - p. 467-475 , 2022

Link: https://dl.acm.org/doi/10.1145/3549206.3549287

RT 
T1 <cTitle>Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing</cTitle>: T1 <Title>Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3549287&Exemplar=1&LAN=DE
				
A1 Pareek, Pratyush
A1 Bhardwaj, Aaryan
A1 Patro, Sanskar
A1 Arora, Anirudh
A1 Kaur Maini, Muskan Deep
A1 Kumar, Bagesh
A1 Vyas, O. P.
PB ACM
YR 2022
K1 data density gradient
K1 farthest boundary point estimation
K1 sample reduction
K1 sampling
K1 support vector data description
K1 support vector machines
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Machine learning approaches
K1 Supervised learning
K1 Classification and regression trees
K1 Supervised learning by classification
SP 467
OP 475
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3549206.3549287
DO https://dl.acm.org/doi/10.1145/3549206.3549287
SF ELIB - SuUB Bremen

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