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Part 1: Document Description
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Citation |
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Title: |
The source codes of DSSCN |
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Identification Number: |
doi:10.21979/N9/4KTA08 |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2020-04-14 |
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Version: |
2 |
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Bibliographic Citation: |
Pratama, Mahardhika; Wang, D., 2020, "The source codes of DSSCN", https://doi.org/10.21979/N9/4KTA08, DR-NTU (Data), V2 |
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Citation |
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Title: |
The source codes of DSSCN |
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Identification Number: |
doi:10.21979/N9/4KTA08 |
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Authoring Entity: |
Pratama, Mahardhika (Nanyang Technological University) |
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Wang, D. (Nanyang Technological University) |
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Software used in Production: |
Matlab |
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Grant Number: |
Tier 1 Research Grant |
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Grant Number: |
NTU Start-up Grant |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Pratama, Mahardhika |
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Depositor: |
Pratama, Mahardhika |
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Date of Deposit: |
2020-04-14 |
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Holdings Information: |
https://doi.org/10.21979/N9/4KTA08 |
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Study Scope |
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Keywords: |
Computer and Information Science, Computer and Information Science, Stochastic configuration networks, Deep learning, Non-stationary data streams |
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Abstract: |
MATLAB Codes of DSSCN |
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Kind of Data: |
code |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
Please refer to the LICENSE.md file in this dataset. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1016/j.ins.2019.04.055 |
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Bibliographic Citation: |
Pratama, M., & Wang, D. (2019). Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Information Sciences, 495, 150-174. |
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Citation |
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Identification Number: |
10356/151224 |
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Bibliographic Citation: |
Pratama, M. & Wang, D. (2019). Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Information Sciences, 495, 150-174. |
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ACKNOWLEDGEMENT.txt |
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text/plain |
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dataset |
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text/plain; charset=US-ASCII |
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electricity_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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electricitypricing_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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eSCN.p |
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text/x-pascal |
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eSCN.p |
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text/x-pascal |
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eSCNupdate.p |
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text/x-pascal |
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eSCNupdate.p |
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text/x-pascal |
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FRnew.m |
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text/x-matlab |
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FRnew.m |
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text/x-matlab |
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hyperplane_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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hyperplane_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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inferencefull.m |
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text/x-matlab |
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inferencefull.m |
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text/x-matlab |
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inference.m |
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text/x-matlab |
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inference.m |
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text/x-matlab |
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kdd_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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LICENSES.md |
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text/markdown |
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modify_dataset_zero_class.m |
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text/x-matlab |
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modify_dataset_zero_class.m |
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text/x-matlab |
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normal_class.m |
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text/x-matlab |
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normal_class.m |
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text/x-matlab |
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README.md |
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text/markdown |
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rfid_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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rfid_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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sea_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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SEA_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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susy_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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susy_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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title |
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text/plain; charset=US-ASCII |
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title |
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text/plain; charset=US-ASCII |
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weather_pclass_featureweighting_ensemble.m |
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text/x-matlab |
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weather_pclass_featureweighting_ensemble.m |
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Notes: |
text/x-matlab |