Neural Information Processing Neural Information Processing

Neural Information Processing

26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I

Tom Gedeon und andere
    • 42,99 €
    • 42,99 €

Beschreibung des Verlags

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.

The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11953, is organized in topical sections on adversarial networks and learning; convolutional neural networks; deep neural networks; feature learning and representation; human centred computing; human centred computing and medicine; hybrid models; and artificial intelligence and cybersecurity.

GENRE
Computer und Internet
ERSCHIENEN
2019
12. Dezember
SPRACHE
EN
Englisch
UMFANG
803
Seiten
VERLAG
Springer International Publishing
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
106,6
 MB
Neural Information Processing Neural Information Processing
2019
Artificial Neural Networks and Machine Learning – ICANN 2020 Artificial Neural Networks and Machine Learning – ICANN 2020
2020
Artificial Neural Networks and Machine Learning – ICANN 2022 Artificial Neural Networks and Machine Learning – ICANN 2022
2022
Neural Information Processing Neural Information Processing
2019
Artificial Neural Networks and Machine Learning – ICANN 2022 Artificial Neural Networks and Machine Learning – ICANN 2022
2022
Artificial Neural Networks and Machine Learning – ICANN 2018 Artificial Neural Networks and Machine Learning – ICANN 2018
2018
Neural Information Processing Neural Information Processing
2019
Neural Information Processing Neural Information Processing
2019
Neural Information Processing Neural Information Processing
2019
Neural Information Processing Neural Information Processing
2019