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- 1.0507969 - ÚI 2020 RIV CH eng C - Conference Paper (international conference)
Kůrková, Věra
Probabilistic Bounds for Approximation by Neural Networks.
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. Proceedings, Part I. Cham: Springer, 2019 - (Tetko, I.; Kůrková, V.; Karpov, P.; Theis, F.), s. 418-428. Lecture Notes in Computer Science, 11727. ISBN 978-3-030-30486-7. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : Approximation of random functions * Feedforward networks * Dictionaries of computational units * High-dimensional geometry * Concentration of measure * Azuma-Hoeffding inequalities
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0298932 - 2.0503688 - ÚI 2020 RIV CH eng C - Conference Paper (international conference)
Cabessa, Jérémie - Šíma, Jiří
Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks.
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. Proceedings, Part I. Cham: Springer, 2019 - (Tetko, I.; Kůrková, V.; Karpov, P.; Theis, F.), s. 806-818. Lecture Notes in Computer Science, 11727. ISBN 978-3-030-30486-7. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : Recurrent neural networks * Threshold circuits * Finite state automata * Synfire rings
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0295498File Download Size Commentary Version Access 0503688-acc.pdf 4 2.3 MB Publisher’s postprint require 0503688-sub.pdf 2 604.7 KB Author´s preprint require - 3.0502583 - ÚI 2020 RIV CH eng C - Conference Paper (international conference)
Šíma, Jiří
Counting with Analog Neurons.
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. Proceedings, Part I. Cham: Springer, 2019 - (Tetko, I.; Kůrková, V.; Karpov, P.; Theis, F.), s. 389-400. Lecture Notes in Computer Science, 11727. ISBN 978-3-030-30486-7. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : Neural computing * Analog state * Deterministic pushdown automaton * Deterministic context-free language * Chomsky hierarchy
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0294486File Download Size Commentary Version Access 0502583-sub.pdf 4 316.6 KB Verze submit Author´s preprint require