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Fast One-class Classification using Class Boundary-preservi..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,

Bhattacharya, Arindam ; Varambally, Sumanth ; Bagchi, Amitabha. - p. 66-74 , 2021

Link: https://dl.acm.org/doi/10.1145/3447548.3467440

RT 
T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Fast One-class Classification using Class Boundary-preserving Random Projections</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3467440&Exemplar=1&LAN=DE
				
A1 Bhattacharya, Arindam
A1 Varambally, Sumanth
A1 Bagchi, Amitabha
A1 Bedathur, Srikanta
PB ACM
YR 2021
K1 ensemble classifier
K1 kernel based method
K1 one class classification
K1 random projection
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Unsupervised learning
K1 Anomaly detection
K1 Machine learning algorithms
K1 Ensemble methods
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Sample complexity and generalization bounds
K1 Kernel methods
SP 66
OP 74
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467440
DO https://dl.acm.org/doi/10.1145/3447548.3467440
SF ELIB - SuUB Bremen

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