Results 251 to 260 of about 18,518,960 (329)

The Error in ‘Error Rate’: Why Error Rates Are So Needed, Yet So Elusive

SSRN Electronic Journal, 2020
AbstractEstablishing error rates is crucial for knowing how well one is performing, determining whether improvement is needed, measuring whether interventions are effective, as well as for providing transparency. However, the flurry of activities in establishing error rates for the forensic sciences has largely overlooked some fundamental issues that ...
I. Dror
openaire   +3 more sources

Bit Error Rate for NOMA Network

IEEE Communications Letters, 2020
This letter examines the bit error rate (BER) performance of downlink non-orthogonal multiple access networks for binary phase-shift keying modulation. Exact BER expression is derived for each user in closed-form under additive white Gaussian noise and ...
Mahmoud Aldababsa, Caner Göztepe, G. Kurt, O. Kucur   +3 more
semanticscholar   +1 more source

bit error rate

Free-Space Laser Communication: An Introduction, 2000
R. A. Motes
openaire   +2 more sources

Meaning Error Rate

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
Speech recognition became a popular task during the last decade. Automatic speech recognition (ASR) systems are used in many fields: virtual assistants, call-center automation, device speech interfaces, etc. Each application defines its own measure of quality.
Ludmila Gordeeva, Vasily Ershov, Oleg Gulyaev, Igor Kuralenok   +3 more
openaire   +1 more source

Rating Disambiguation Errors

2012
Ambiguous notation is a powerful tool developed to deal with the complexity of mathematics without sacrificing clarity or conciseness. In the mechanized parsing of ambiguous terms, a disambiguation algorithm can be used to provide the system with the intelligence necessary to select valid interpretations for the overloaded symbols received in input.
ASPERTI, ANDREA, RICCIOTTI, WILMER
openaire   +2 more sources

Quantum error correction below the surface code threshold

Nature
Quantum error correction1, 2, 3–4 provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, in which the logical error rate is suppressed exponentially as more qubits are added.
R. Acharya, Laleh Aghababaie-Beni, I. Aleiner, Trond I. Andersen, M. Ansmann, F. Arute, K. Arya, A. Asfaw, N. Astrakhantsev, J. Atalaya, R. Babbush, Dave Bacon, B. Ballard, J. C. Bardin, Johannes Bausch, A. Bengtsson, A. Bilmes, S. Blackwell, S. Boixo, G. Bortoli, A. Bourassa, J. Bovaird, L. Brill, M. Broughton, D. A. Browne, B. Buchea, B. Buckley, D. Buell, T. Burger, B. Burkett, N. Bushnell, A. Cabrera, J. Campero, Hung-Shen Chang, Yu Chen, Zijun Chen, B. Chiaro, Desmond Chik, Charina Chou, J. Claes, A. Cleland, J. Cogan, R. Collins, P. Conner, W. Courtney, A. Crook, B. Curtin, Sayan Das, A. Davies, L. Lorenzo, D. Debroy, S. Demura, M. Devoret, A. Paolo, P. Donohoe, I. Drozdov, A. Dunsworth, C. Earle, T. Edlich, A. Eickbusch, A. M. Elbag, M. Elzouka, C. Erickson, L. Faoro, E. Farhi, V. S. Ferreira, L. Burgos, E. Forati, A. Fowler, B. Foxen, S. Ganjam, G. Garcia, R. Gasca, 'Elie Genois, W. Giang, C. Gidney, D. Gilboa, R. Gosula, A. Dau, D. Graumann, A. Greene, J. Gross, S. Habegger, John Hall, Michael C. Hamilton, M. Hansen, M. Harrigan, S. D. Harrington, F. J. Heras, S. Heslin, P. Heu, O. Higgott, G. Hill, J. Hilton, George Holland, Sabrina Hong, Hsin-Yuan Huang, A. Huff, W. Huggins, L. Ioffe, S. Isakov, J. Iveland, E. Jeffrey, Zhang Jiang, Cody Jones, S. Jordan, C. Joshi, P. Juhás, D. Kafri, Hui Kang, A. Karamlou, K. Kechedzhi, J. Kelly, T. Khaire, T. Khattar, M. Khezri, Seon Kim, P. Klimov, A. Klots, B. Kobrin, Pushmeet Kohli, A. Korotkov, F. Kostritsa, Robin Kothari, Borislav M. Kozlovskii, J. Kreikebaum, V. D. Kurilovich, N. Lacroix, D. Landhuis, T. Lange-Dei, B. W. Langley, P. Laptev, K. Lau, L. Guevel, J. Ledford, Kenny Lee, Y. Lensky, Shannon Leon, B. Lester, Wing Yan Li, Yin Li, A. Lill, Wayne Liu, W. Livingston, A. Locharla, E. Lucero, D. Lundahl, A. Lunt, S. Madhuk, F. Malone, A. Maloney, Salvatore Mandr'a, L. S. Martin, Steven Martin, O. Martin, C. Maxfield, J. McClean, M. McEwen, S. Meeks, A. Megrant, X. Mi, K. Miao, A. Mieszala, R. Molavi, S. Molina, S. Montazeri, A. Morvan, R. Movassagh, W. Mruczkiewicz, O. Naaman, Matthew Neeley, C. Neill, A. Nersisyan, H. Neven, Michael Newman, J. Ng, A. Nguyen, M. Nguyen, Chia-Hung Ni, T. O’Brien, W. D. Oliver, A. Opremcak, K. Ottosson, A. Petukhov, A. Pizzuto, John C. Platt, R. Potter, O. Pritchard, L. Pryadko, C. Quintana, G. Ramachandran, M. Reagor, D. M. Rhodes, G. Roberts, Eliot Rosenberg, E. Rosenfeld, P. Roushan, N. Rubin, N. Saei, D. Sank, K. Sankaragomathi, K. Satzinger, H. Schurkus, C. Schuster, A. W. Senior, M. Shearn, A. Shorter, N. Shutty, V. Shvarts, Shraddha Singh, V. Sivak, J. Skruzny, S. Small, V. Smelyanskiy, W. C. Smith, Rolando D Somma, S. Springer, G. Sterling, D. Strain, J. Suchard, A. Szasz, A. Sztein, D. Thor, A. Torres, M. M. Torunbalci, A. Vaishnav, J. Vargas, S. Vdovichev, G. Vidal, B. Villalonga, C. Heidweiller, S. Waltman, Shannon X. Wang, B. Ware, Kate Weber, T. White, K. Wong, B. Woo, C. Xing, Z. Yao, P. Yeh, B. Ying, Juhwan Yoo, N. Yosri, G. Young, Adam Zalcman, Yaxing Zhang, N. Zhu, N. Zobrist   +248 more
semanticscholar   +1 more source

Benchmarking and medication error rates

American Journal of Health-System Pharmacy, 2016
NCC MERP and ISMP provide exemplary leadership in this area, including important policy suggestions. To be effective, benchmarking must include comparative measures of performance that are based on modifiable risk factors that cause the performance to suffer.
Christy, Gorbach, Linda, Blanton, Beverly, Lukawski, Alex C, Varkey, Paige, Pitman, Kevin W, Garey   +5 more
openaire   +4 more sources

Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)

IEEE Transactions on Information Theory, 1974
L. Bahl, J. Cocke, F. Jelinek, J. Raviv
semanticscholar   +1 more source

Bit Error Rates

2001
A practical consideration that has so far received little attention is the correcting power of the coding required to do the job. In other words, if we need a certain improvement in channel performance, how many bits must we be able to correct? This aspect of the subject gets quite mathematical, so I shall give only a simplified view of the problem in ...
openaire   +1 more source

error rate

2011
  +4 more sources