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Classification artificial neural systems for genome researc:

, In: Proceedings of the 1992 ACM/IEEE conference on Supercomputing,

Wu, C. H. ; Whitson, G. M. ; Hsiao, C.-T.. - p. 797-803 , 1992

Link: https://dl.acm.org/doi/10.5555/147877.148134

RT 
T1 <cTitle>Proceedings of the 1992 ACM/IEEE conference on Supercomputing</cTitle>: T1 <Title>Classification artificial neural systems for genome research</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-148134&Exemplar=1&LAN=DE
				
A1 Wu, C. H.
A1 Whitson, G. M.
A1 Hsiao, C.-T.
A1 Huang, C.-F.
PB IEEE Computer Society Press
YR 1992
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Applied computing
K1 Life and medical sciences
K1 Computational biology
K1 Genetics
K1 Artificial intelligence
K1 Control methods
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Algorithm design techniques
K1 Dynamic programming
K1 Search methodologies
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Distributed systems organizing principles
K1 Grid computing
K1 Modeling and simulation
K1 Simulation types and techniques
K1 Massively parallel and high-performance simulations
K1 Computer systems organization
K1 Architectures
K1 Serial architectures
K1 Superscalar architectures
K1 Distributed architectures
K1 Parallel architectures
K1 Multicore architectures
K1 Networks
K1 Network performance evaluation
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Dependable and fault-tolerant systems and networks
K1 Systems biology
SP 797
OP 803
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/147877.148134
DO https://dl.acm.org/doi/10.5555/147877.148134
SF ELIB - SuUB Bremen

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