Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yixiong Meng"'
Autor:
Roland Maas, Jasha Droppo, Roberto Barra-Chicote, Yixiong Meng, Amin Fazel, Wei Yang, Yulan Liu
End-to-end (E2E) automatic speech recognition (ASR) models have recently demonstrated superior performance over the traditional hybrid ASR models. Training an E2E ASR model requires a large amount of data which is not only expensive but may also rais
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7ab09241c6ea402622a7b43a7286d8
http://arxiv.org/abs/2106.07803
http://arxiv.org/abs/2106.07803
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 592:451-455
A toy detector has been designed to simulate central detectors in reactor neutrino experiments in the paper. The electron samples from the Monte-Carlo simulation of the toy detector have been reconstructed by the method of Bayesian neural networks (B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6416cd8f7a26cede8ff86657d5fc75bb
https://doi.org/10.1016/j.nima.2008.04.006
https://doi.org/10.1016/j.nima.2008.04.006
The application of Bayesian Neural Networks(BNN) to discriminate neutrino events from backgrounds in reactor neutrino experiments has been described in Ref.\cite{key-1}. In the paper, BNN are also used to identify neutrino events in reactor neutrino
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4668f0eca010f97748c000707d0b5415
http://arxiv.org/abs/0901.1497
http://arxiv.org/abs/0901.1497
Publikováno v:
ICNC (6)
Some applications of Bayesian neural networks (BNN) in the high energy physics experiments are described in the present paper. They are the applications of BNN to particle identification in the second generation of BEijing Spectrometer experiment (BE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0149c1d143ece38773a137fb11dfc5ed
https://doi.org/10.1109/icnc.2009.117
https://doi.org/10.1109/icnc.2009.117
In the paper, it is discussed by using Monte-Carlo simulation that the Bayesian Neural Network(BNN) is applied to determine neutrino incoming direction in reactor neutrino experiments and supernova explosion location by scintillator detectors. As a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::689d68c3a3d0bb7d9fc368dd3995e0ad
http://arxiv.org/abs/0812.2713
http://arxiv.org/abs/0812.2713
Publikováno v:
Journal of Instrumentation. 3:P08005-P08005
A toy detector has been designed to simulate central detectors in reactor neutrino experiments in the paper. The samples of neutrino events and three major backgrounds from the Monte-Carlo simulation of the toy detector are generated in the signal re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7882479c6c58233129c7b1d63ec9e4df
https://doi.org/10.1088/1748-0221/3/08/p08005
https://doi.org/10.1088/1748-0221/3/08/p08005
Publikováno v:
2009 Fifth International Conference on Natural Computation; 2009, p57-61, 5p