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TINET : Learning Invariant Networks via Knowledge Transf..:

, In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Luo, Chen ; Chen, Zhengzhang ; Tang, Lu-An... - p. 1890-1899 , 2018

Link: https://dl.acm.org/doi/10.1145/3219819.3220003

RT 
T1 <cTitle>Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>TINET				: Learning Invariant Networks via Knowledge Transfer</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3220003&Exemplar=1&LAN=DE
				
A1 Luo, Chen
A1 Chen, Zhengzhang
A1 Tang, Lu-An
A1 Shrivastava, Anshumali
A1 Li, Zhichun
A1 Chen, Haifeng
A1 Ye, Jieping
PB ACM
YR 2018
K1 dependency construction
K1 enterprise security system
K1 entity embedding
K1 heterogeneous categorical event
K1 invariant network
K1 knowledge transfer
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Graph algorithms analysis
K1 Dynamic graph algorithms
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Multi-task learning
K1 Transfer learning
K1 Machine learning approaches
K1 Learning latent representations
K1 Security and privacy
K1 Intrusion/anomaly detection and malware mitigation
K1 Intrusion detection systems
SP 1890
OP 1899
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3219819.3220003
DO https://dl.acm.org/doi/10.1145/3219819.3220003
SF ELIB - SuUB Bremen

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