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Behavior Research Methods, ISSN 1554-351X, 2/2019, Volume 51, Issue 1, pp. 440 - 450
Journal Article
Journal of Electron Spectroscopy and Related Phenomena, ISSN 0368-2048, 02/2020, Volume 239, p. 146903
We developed and implemented a fully automated method to perform X-ray photoelectron spectroscopy (XPS) spectral analysis based on the active Shirley method... 
Bayesian information criterion (BIC) | Active Shirley method | Akaike information criterion (AIC) | X-ray photoelectron spectroscopy (XPS)
Journal Article
Renewable Energy, ISSN 0960-1481, 02/2020, Volume 146, pp. 460 - 468
In present study anaerobic digestion was integrated with bio-electrolysis of agriculture waste mixed with wastewater for biogas production. The... 
Anaerobic fermentation | Bayesian information criterion (BIC) | Kinetic modeling | Akaike information criterion (AIC) | Bio-electrochemical digester | Methanogens
Journal Article
by Luo, X and Chang, XH and Ban, XJ
NEUROCOMPUTING, ISSN 0925-2312, 01/2016, Volume 174, pp. 179 - 186
Extreme learning machine (ELM) is a very simple machine learning algorithm and it can achieve a good generalization performance with extremely fast speed.... 
Ridge regression | Extreme learning machine | Model selection | Elastic net | Bayesian information criterion (BIC) | MODEL | SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2017, Volume 65, Issue 5, pp. 1196 - 1206
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 02/2019, Volume 26, Issue 2, pp. 302 - 306
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2016, Volume 174, pp. 179 - 186
Extreme learning machine (ELM) is a very simple machine learning algorithm and it can achieve a good generalization performance with extremely fast speed.... 
Ridge regression | Elastic net | Bayesian information criterion (BIC) | Extreme learning machine | Model selection
Journal Article
Entropy, ISSN 1099-4300, 04/2019, Volume 21, Issue 4, p. 394
The most widely used forms of model selection criteria, the Bayesian Information Criterion (BIC) and the Akaike Information Criterion (AIC), are expressed in... 
Geodesic Distance | Shannon Entropy | Model Selection Criteria | Bayesian Information Criterion (BIC) | Akaike Information Criterion (AIC) | PHYSICS, MULTIDISCIPLINARY | JET
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 11/2017, Volume 24, Issue 11, pp. 1641 - 1645
Many simultaneous sparse estimation approaches focus on joint estimation of multiple sparse vectors with a common support from given linear observations, which... 
sparse estimation | Estimation | Signal processing algorithms | Sparse representation | Bayesian information criterion (BIC) | Bayes methods | Parametric statistics | Optimization | sparse Bayesian learning | RECOVERY | APPROXIMATION | SIGNALS | ALGORITHMS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 03/2015, Volume 25, Issue 3, pp. 353 - 366
In this paper, a novel spatial error concealment (EC) algorithm is proposed. Under the sequential recovery framework, pixels in missing blocks are successively... 
Training | Context | Adaptation models | Uncertainty | Correlation | Shape | Prediction algorithms | Adaptive linear predictor | Bayesian information criterion (BIC) | error concealment (EC) | INTERPOLATION | EXTRAPOLATION | RECOVERY | IMAGE | VIDEO | CODING TECHNIQUES | PROJECTIONS | COMMUNICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Algorithms | Bayes factors | Analysis
Journal Article
IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, 12/2019, Volume 55, Issue 6, pp. 3531 - 3550
We consider range estimation and range-Doppler imaging using signed measurements of a radar system. Known time-varying thresholds are investigated for taking... 
Maximum likelihood estimation | Parameter estimation | range estimation | range-Doppler imaging | known time-varying thresholds | maximum likelihood (ML) | RELAX | one-bit sampling | Imaging | Radar imaging | Probability density function | signed measurements | Bayesian information criterion (BIC)
Journal Article
Electronic Journal of Statistics, ISSN 1935-7524, 2014, Volume 8, Issue 1, pp. 456 - 475
The Bayesian Information Criterion (BIC) is widely used for variables election in mixed effects models. However, its expression is unclear in typical... 
Bayesian Information Criterion | Mixed effects model | BIC | Variable selection | CONDITIONAL AKAIKE INFORMATION | APPROXIMATION | ALGORITHM | CONVERGENCE | STATISTICS & PROBABILITY | LONGITUDINAL DATA | variable selection | SELECTION | mixed effects model | Statistics | Statistics Theory | Mathematics
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 04/2018, Volume 66, Issue 7, pp. 1775 - 1790
This paper presents novel adaptive schemes and the pertinent analysis for estimation of the number of targets, their associated radar cross section (RCS)... 
Radar cross-sections | least mean squares (LMS) | Wiener filter | MIMO radar | Estimation | Imaging | Radar imaging | Bayesian information criterion (BIC) | Doppler effect | Covariance matrices | 2D-imaging | recursive least squares (RLS) | LOCALIZATION | NUMBER | RESOLUTION | TIME | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | DIMENSION | SELECTION
Journal Article
IEEE Transactions on Control Systems Technology, ISSN 1063-6536, 09/2019, Volume 27, Issue 5, pp. 2169 - 2181
Journal Article
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