Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Petra Vidnerová"'
Autor:
Petra Vidnerová, Roman Neruda
Publikováno v:
Neural Information Processing ISBN: 9783030638351
ICONIP (3)
ICONIP (3)
In this paper, we propose a multi-objective evolutionary algorithm for automatic deep neural architecture search. The algorithm optimizes the performance of the model together with the number of network parameters. This allows exploring architectures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9528e0cb0daead0a5a4fc08552e512
https://doi.org/10.1007/978-3-030-63836-8_23
https://doi.org/10.1007/978-3-030-63836-8_23
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030614003
ICAISC (1)
ICAISC (1)
The choice of an architecture is crucial for the performance of the neural network, and thus automatic methods for architecture search have been proposed to provide a data-dependent solution to this problem. In this paper, we deal with an automatic n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0deaf599890f75ed9971ff4284f7aa
https://doi.org/10.1007/978-3-030-61401-0_25
https://doi.org/10.1007/978-3-030-61401-0_25
Autor:
Roman Neruda, Petra Vidnerová
Publikováno v:
FedCSIS
Deep neural networks enjoy high interest and have become the state-of-art methods in many fields of machine learning recently. Still, there is no easy way for a choice of network architecture. However, the choice of architecture can significantly inf
Autor:
Petra Vidnerová, Roman Neruda
Publikováno v:
MISNC
Studying vulnerability of machine learning models to adversarial examples is an important way to understand their robustness and generalization properties. In this paper, we propose a genetic algorithm for generating adversarial examples for machine
Autor:
Roman Neruda, Petra Vidnerová
Publikováno v:
Advances in Information Technology ISBN: 9783642166983
IAIT
IAIT
Regularization networks are one of the important methods for supervised learning. They benefit from very good theoretical background, though their drawback is the presence of metaparameters. The metaparameters are typically supposed to be given by an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be9ed1bc4828e1abd07fe7b001d3ebae
https://doi.org/10.1007/978-3-642-16699-0_21
https://doi.org/10.1007/978-3-642-16699-0_21