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Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9212
Abstract: Variable screening plays an important role in ultra-high-dimensional data analysis. Most of the previous analyses have focused on individual predictor screening using marginal correlation or other rank-based techniques. When predictors can be naturally grouped, the…
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Keywords:
likelihood estimation;
estimation;
variable screening;
maximum likelihood ... See more keywords
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Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02382-9
Abstract: In this paper, a new method for constructing the probability box (p-box) model is developed based on maximum entropy principle. The distribution characteristics of probability box variable can be described by the nature of moments.…
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Keywords:
probability box;
probability;
maximum entropy;
based maximum ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3172292
Abstract: In this paper, a model-based maximum power point tracking (MPPT) technique is presented for a two-stage grid-connected photovoltaic (PV) system, where the loci of the maximum power points (MPPs) is specified accurately based on a…
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Keywords:
system;
power point;
power;
based maximum ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3226600
Abstract: Synthetic aperture radar (SAR) may be attacked by multifarious kinds of active jamming, which will lead to the ineffectiveness of SAR in the complex electromagnetic environment. In this article, a novel multi-electromagnetic jamming countermeasure for…
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Keywords:
multi electromagnetic;
based maximum;
electromagnetic jamming;
airborne sar ... See more keywords
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Published in 2019 at "Computational Intelligence"
DOI: 10.1111/coin.12187
Abstract: Maximum‐margin clustering is an extension of the support vector machine (SVM) to clustering. It partitions a set of unlabeled data into multiple groups by finding hyperplanes with the largest margins. Although existing algorithms have shown…
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Keywords:
maximum margin;
annealing based;
margin clustering;
based maximum ... See more keywords
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Published in 2023 at "Journal of Disaster Research"
DOI: 10.20965/jdr.2023.p0308
Abstract: In seismic design, intensity parameters that represent seismic demand are commonly used. A probabilistic seismic hazard assessment is an accurate way of assessing seismic demand, based on a set of parameters that represent the seismicity…
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Keywords:
subduction earthquakes;
seismicity;
subduction;
seismicity based ... See more keywords