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Split : Optimizing Space, Power, and Throughput for TCAM..:

, In: Proceedings of the 2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems,

Meiners, Chad R. ; Liu, Alex X. ; Torng, Eric. - p. 200-210 , 2011

Link: https://dl.acm.org/doi/10.1109/ANCS.2011.36

RT 
T1 <cTitle>Proceedings of the 2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems</cTitle>: T1 <Title>Split				: Optimizing Space, Power, and Throughput for TCAM-Based Classification</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2065191&Exemplar=1&LAN=DE
				
A1 Meiners, Chad R.
A1 Liu, Alex X.
A1 Torng, Eric
A1 Patel, Jignesh
PB IEEE Computer Society
YR 2011
K1 Packet Classification
K1 TCAM
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Classification and regression trees
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Computer systems organization
K1 Dependable and fault-tolerant systems and networks
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Networks
K1 Network services
K1 Network monitoring
K1 Network performance evaluation
SP 200
OP 210
LK http://dx.doi.org/https://dl.acm.org/doi/10.1109/ANCS.2011.36
DO https://dl.acm.org/doi/10.1109/ANCS.2011.36
SF ELIB - SuUB Bremen

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