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Published in 2020 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2020.126673
Abstract: In this study, computational and statistical models were applied to optimize the inherent parameters of an electrochemical decontamination of synozol red. The effect of various experimental variables such as current density, initial pH and concentration…
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Keywords:
computational statistical;
electrochemical decontamination;
synozol red;
decontamination synozol ... See more keywords
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Published in 2020 at "Journal of Archaeological Science"
DOI: 10.1016/j.jas.2020.105214
Abstract: Abstract Minoan Linear A is still an undeciphered script mainly used for administrative purposes on Bronze Age Crete. One of its most enigmatic features is the precise mathematical values of its system of numerical fractions.…
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Keywords:
fraction signs;
values fraction;
statistical typological;
approach ... See more keywords
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Published in 2019 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2018.11.001
Abstract: Abstract A robust and sparse estimation technique for linear regression problem is studied in this paper. Standard regression with Lasso, SCAD and MCP regularizations is not robust against outliers since it involves the least squares.…
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Keywords:
regression;
sparse;
statistical analyses;
regression problem ... See more keywords
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Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2021.3068154
Abstract: Stochastic gradient descent (SGD) has become the method of choice for training highly complex and nonconvex models since it can not only recover good solutions to minimize training errors but also generalize well. Computational and…
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Keywords:
nonconvex;
stochastic gradient;
learning rates;
gradient descent ... See more keywords