Zobrazeno 1 - 3
of 3
pro vyhledávání: '"68T05 (Primary) 37M10, 15A06 (Secondary)"'
Autor:
Lukoševičius, Mantas, Uselis, Arnas
Publikováno v:
Cognitive Computation, 2021
Background/introduction: Cross-Validation (CV) is still uncommon in time series modeling. Echo State Networks (ESNs), as a prime example of Reservoir Computing (RC) models, are known for their fast and precise one-shot learning, that often benefit fr
Externí odkaz:
http://arxiv.org/abs/2006.11282
Autor:
Lukoševičius, Mantas, Uselis, Arnas
Publikováno v:
Artificial Neural Networks and Machine Learning - ICANN 2019: Workshop and Special Sessions. ICANN 2019., pp. 121-133
Echo State Networks (ESNs) are known for their fast and precise one-shot learning of time series. But they often need good hyper-parameter tuning for best performance. For this good validation is key, but usually, a single validation split is used. I
Externí odkaz:
http://arxiv.org/abs/1908.08450
Autor:
Arnas Uselis, Mantas Lukoševičius
Publikováno v:
Cognitive Computation.
Background/introduction: Cross-Validation (CV) is still uncommon in time series modeling. Echo State Networks (ESNs), as a prime example of Reservoir Computing (RC) models, are known for their fast and precise one-shot learning, that often benefit fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a98211a398785a8e7e74d6b37d611f7
https://doi.org/10.1007/s12559-021-09849-2
https://doi.org/10.1007/s12559-021-09849-2
