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A comparative study of GP-based and state-of-the-art classi..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Orzechowski, Patryk ; Renc, Paweł ; La Cava, William... - p. 276-279 , 2022

Link: https://dl.acm.org/doi/10.1145/3520304.3529056

RT 
T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3529056&Exemplar=1&LAN=DE
				
A1 Orzechowski, Patryk
A1 Renc, Paweł
A1 La Cava, William
A1 Moore, Jason H.
A1 Sitek, Arkadiusz
A1 Wąs, Jaroslaw
A1 Wagenaar, Joost
PB ACM
YR 2022
K1 benchmarking
K1 classification
K1 evolutionary algorithms
K1 genetic programming
K1 machine learning
K1 Information systems
K1 Information retrieval
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Cluster analysis
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Parallel algorithms
K1 Massively parallel algorithms
K1 Machine learning approaches
K1 Bio-inspired approaches
K1 Artificial intelligence
K1 Search methodologies
SP 276
OP 279
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3529056
DO https://dl.acm.org/doi/10.1145/3520304.3529056
SF ELIB - SuUB Bremen

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