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Program synthesis as latent continuous optimization : ev..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference,

Liskowski, Paweł ; Krawiec, Krzysztof ; Toklu, Nihat Engin. - p. 359-367 , 2020

Link: https://dl.acm.org/doi/10.1145/3377930.3390213

RT 
T1 <cTitle>Proceedings of the 2020 Genetic and Evolutionary Computation Conference</cTitle>: T1 <Title>Program synthesis as latent continuous optimization				: evolutionary search in neural embeddings</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3390213&Exemplar=1&LAN=DE
				
A1 Liskowski, Paweł
A1 Krawiec, Krzysztof
A1 Toklu, Nihat Engin
A1 Swan, Jerry
PB ACM
YR 2020
K1 autoencoders
K1 deep learning
K1 embedding
K1 genetic programming
K1 program synthesis
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Mathematical optimization
K1 Discrete optimization
K1 Optimization with randomized search heuristics
K1 Evolutionary algorithms
K1 Software and its engineering
K1 Software creation and management
K1 Software development techniques
K1 Automatic programming
K1 Genetic programming
K1 Learning latent representations
SP 359
OP 367
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3377930.3390213
DO https://dl.acm.org/doi/10.1145/3377930.3390213
SF ELIB - SuUB Bremen

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