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Part 1: Document Description
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Citation |
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Title: |
The source codes of NADINE Python |
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Identification Number: |
doi:10.21979/N9/JG7NJS |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2022-06-24 |
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Version: |
1 |
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Bibliographic Citation: |
Pratama, Mahardhika; Za'in, Choiru; Ashfahani, Andri; Ong, Yew-Soon; Ding, Weiping, 2022, "The source codes of NADINE Python", https://doi.org/10.21979/N9/JG7NJS, DR-NTU (Data), V1 |
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Citation |
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Title: |
The source codes of NADINE Python |
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Identification Number: |
doi:10.21979/N9/JG7NJS |
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Authoring Entity: |
Pratama, Mahardhika (Nanyang Technological University) |
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Za'in, Choiru (Nanyang Technological University) |
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Ashfahani, Andri (Nanyang Technological University) |
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Ong, Yew-Soon (Nanyang Technological University) |
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Ding, Weiping (Nanyang Technological University) |
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Software used in Production: |
Python |
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Grant Number: |
AI Singapore programme [Award No.: AISG-RP-2018-004] |
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Grant Number: |
Industry Alignment Fund Pre-Positioning Programme in AME domain [Award No.: A19C1a0018] |
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Grant Number: |
Data Science and Artificial Intelligence Research Center |
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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: |
2022-05-12 |
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Holdings Information: |
https://doi.org/10.21979/N9/JG7NJS |
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Study Scope |
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Keywords: |
Computer and Information Science, Computer and Information Science, deep learning, continual learning, online learning, concept drifts, data streams |
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Abstract: |
the source code of NADINE " Automatic Construction of Multi-layer Perceptron Network from Streaming Examples " |
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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 Studies |
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Pratama, Mahardhika; Za'in, Choiru; Ashfahani, Andri; Ong, Yew-Soon; Ding, Weiping, 2022, "The source codes of NADINE Matlab", <a href="https://doi.org/10.21979/N9/JUNYZV">https://doi.org/10.21979/N9/JUNYZV</a>, DR-NTU (Data) |
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Related Publications |
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Citation |
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Identification Number: |
10.1145/3357384.3357946 |
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Bibliographic Citation: |
Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew Soon Ong, and Weiping Ding. 2019. Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19). Association for Computing Machinery, New York, NY, USA, 1171–1180. |
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Label: |
environment.yml |
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Notes: |
application/octet-stream |
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Label: |
LICENSE.md |
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Notes: |
text/markdown |
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Label: |
NADINEbasic.py |
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Notes: |
text/x-python |
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Label: |
NADINE_classification_creditcarddefault.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification_electricitypricing.ipynb |
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Notes: |
application/x-ipynb+json |
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NADINE_classification_hepmass.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification_hyperplane.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification.ipynb |
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Notes: |
application/x-ipynb+json |
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NADINE_classification_occupancy.ipynb |
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Notes: |
application/x-ipynb+json |
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NADINE_classification_pmnist.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification_rfid.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification_rmnist.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification_sea.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification_susy.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINE_classification_weather.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
NADINEmainloop.py |
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Notes: |
text/x-python |
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Label: |
README.md |
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Notes: |
text/markdown |
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Label: |
run NADINE experiments_bs1000.html |
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Notes: |
text/html |
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Label: |
run NADINE experiments_bs1000.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
Untitled.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
utilsNADINE.py |
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Notes: |
text/x-python |