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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1974 1
1977 1
1978 1
1980 2
1981 1
1983 3
1984 1
1985 2
1986 1
1987 1
1988 3
1989 3
1990 2
1991 2
1992 7
1993 6
1994 2
1995 7
1996 6
1997 9
1998 3
1999 8
2000 12
2001 7
2002 8
2003 13
2004 15
2005 10
2006 18
2007 20
2008 17
2009 27
2010 32
2011 31
2012 38
2013 45
2014 48
2015 37
2016 59
2017 57
2018 73
2019 82
2020 94
2021 131
2022 131
2023 125
2024 62

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1,118 results

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Page 1
Mean-square convergence analysis of ADALINE training with minimum error entropy criterion.
Chen B, Zhu Y, Hu J. Chen B, et al. IEEE Trans Neural Netw. 2010 Jul;21(7):1168-79. doi: 10.1109/TNN.2010.2050212. Epub 2010 Jun 21. IEEE Trans Neural Netw. 2010. PMID: 20570767
Recently, the minimum error entropy (MEE) criterion has been used as an information theoretic alternative to traditional mean-square error criterion in supervised learning systems. ...Based on a block version of energy conservation relati …
Recently, the minimum error entropy (MEE) criterion has been used as an information theoretic alternative to traditional me …
Mapping EQ-5D-3L to EQ-5D-5L.
van Hout BA, Shaw JW. van Hout BA, et al. Value Health. 2021 Sep;24(9):1285-1293. doi: 10.1016/j.jval.2021.03.009. Epub 2021 May 18. Value Health. 2021. PMID: 34452708 Free article.
Nonparametric and ordinal logistic regression models were fit to the data and compared using Akaike's information criterion (AIC) as well as the mean absolute error and root mean squared error of predictions. ...
Nonparametric and ordinal logistic regression models were fit to the data and compared using Akaike's information criterion (AIC) as …
Using weighted power mean for equivalent square estimation.
Zhou S, Wu Q, Li X, Ma R, Zheng D, Wang S, Zhang M, Li S, Lei Y, Fan Q, Hyun M, Diener T, Enke C. Zhou S, et al. J Appl Clin Med Phys. 2017 Nov;18(6):194-199. doi: 10.1002/acm2.12201. Epub 2017 Oct 31. J Appl Clin Med Phys. 2017. PMID: 29087037 Free PMC article.
PURPOSE: Equivalent Square (ES) enables the calculation of many radiation quantities for rectangular treatment fields, based only on measurements from square fields. ...The formula performance was evaluated by three methods: standard deviation of model fitting resid …
PURPOSE: Equivalent Square (ES) enables the calculation of many radiation quantities for rectangular treatment fields, based only on …
Linear minimum mean-square error filtering for evoked responses: application to fetal MEG.
Chen M, Van Veen BD, Wakai RT. Chen M, et al. IEEE Trans Biomed Eng. 2006 May;53(5):959-63. doi: 10.1109/TBME.2006.872822. IEEE Trans Biomed Eng. 2006. PMID: 16686419
This paper describes a linear minimum mean-squared error (LMMSE) approach for designing spatial filters that improve the signal-to-noise ratio (SNR) of multiepoch evoked response data. ...The signal statistics are unknown, so we approximate the signal autocor …
This paper describes a linear minimum mean-squared error (LMMSE) approach for designing spatial filters that improve th …
Mean square error approximation for wavelet-based semiregular mesh compression.
Payan F, Antonini M. Payan F, et al. IEEE Trans Vis Comput Graph. 2006 Jul-Aug;12(4):649-57. doi: 10.1109/TVCG.2006.73. IEEE Trans Vis Comput Graph. 2006. PMID: 16805271 Free article.
More precisely, this process should compute the best quantizers for the wavelet coefficient subbands that minimize the reconstructed mean square error for one specific target bitrate. In order to design a fast and low complex allocation process, we propose an …
More precisely, this process should compute the best quantizers for the wavelet coefficient subbands that minimize the reconstructed mean …
Kernel Risk-Sensitive Mean p-Power Error Algorithms for Robust Learning.
Zhang T, Wang S, Zhang H, Xiong K, Wang L. Zhang T, et al. Entropy (Basel). 2019 Jun 13;21(6):588. doi: 10.3390/e21060588. Entropy (Basel). 2019. PMID: 33267302 Free PMC article.
To address this issue, a convex kernel risk-sensitive loss (KRL) is proposed to measure the similarity in RKHS, which is the risk-sensitive loss defined as the expectation of an exponential function of the squared estimation error. In this paper, a novel nonlinear s …
To address this issue, a convex kernel risk-sensitive loss (KRL) is proposed to measure the similarity in RKHS, which is the risk-sensitive …
Mixture Correntropy-Based Kernel Extreme Learning Machines.
Zheng Y, Chen B, Wang S, Wang W, Qin W. Zheng Y, et al. IEEE Trans Neural Netw Learn Syst. 2022 Feb;33(2):811-825. doi: 10.1109/TNNLS.2020.3029198. Epub 2022 Feb 3. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 33079685
Compared with the basic ELM, KELM has a better generalization ability owing to no needs of the number of hidden nodes given beforehand and random projection mechanism. Since KELM is derived under the minimum mean square error (MMSE) criterion for the G …
Compared with the basic ELM, KELM has a better generalization ability owing to no needs of the number of hidden nodes given beforehand and r …
Minimum-mean-square-error filters for detecting a noisy target in background noise.
Javidi B, Parchekani F, Zhang G. Javidi B, et al. Appl Opt. 1996 Dec 10;35(35):6964-75. doi: 10.1364/AO.35.006964. Appl Opt. 1996. PMID: 21151295
A minimum-mean-square-error filter is proposed to detect a noisy target in spatially nonoverlapping background noise. In this model, both the background noise that is spatially nonoverlapping with the target and the noise that is additive to the target and th …
A minimum-mean-square-error filter is proposed to detect a noisy target in spatially nonoverlapping background noise. I …
Development of a time-resolved mirrorless scintillation detector.
Cheon W, Jung H, Lee M, Lee J, Kim SJ, Cho S, Han Y. Cheon W, et al. PLoS One. 2021 Feb 12;16(2):e0246742. doi: 10.1371/journal.pone.0246742. eCollection 2021. PLoS One. 2021. PMID: 33577602 Free PMC article.
RESULTS: The dose linearity with brightness ranging from 0.0 cGy to 200.0 cGy was 0.9998 (R-squared value), and the root-mean-square error value was 1.010. For five consecutive measurements, the reproducibility was within 3% error, and the dose …
RESULTS: The dose linearity with brightness ranging from 0.0 cGy to 200.0 cGy was 0.9998 (R-squared value), and the root-mean- …
Smoothness of in vivo spectral baseline determined by mean-square error.
Zhang Y, Shen J. Zhang Y, et al. Magn Reson Med. 2014 Oct;72(4):913-22. doi: 10.1002/mrm.25013. Epub 2013 Nov 20. Magn Reson Med. 2014. PMID: 24259436 Free PMC article.
METHODS: The nonparametric baseline function with a given smoothness was treated as a function of spectral parameters. Its uncertainty was measured by root-mean-square error (RMSE). The proposed method was demonstrated with a simulated spectrum and in vivo sp …
METHODS: The nonparametric baseline function with a given smoothness was treated as a function of spectral parameters. Its uncertainty was m …
1,118 results