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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

Wind Prediction under Random Data Corruption (Student Abstract)

February 1, 2023

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Authors

Conner Flansburg

University of Oklahoma


Dimitrios I. Diochnos

University of Oklahoma


DOI:

10.1609/aaai.v36i11.21609


Abstract:

We study the robustness of ridge regression, lasso regression, and of a neural network, when the training set has been randomly corrupted and in response to this corruption the training-size is reduced in order to remove the corrupted data. While the neural network appears to be the most robust method among these three, nevertheless lasso regression appears to be the method of choice since it suffers less loss both when the full information is available to the learner, as well as when a significant amount of the original training set has been rendered useless because of random data corruption.

Topics: AAAI

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HOW TO CITE:

Conner Flansburg||Dimitrios I. Diochnos Wind Prediction under Random Data Corruption (Student Abstract) Proceedings of the AAAI Conference on Artificial Intelligence (2022) 12945-12946.

Conner Flansburg||Dimitrios I. Diochnos Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022, 12945-12946.

Conner Flansburg||Dimitrios I. Diochnos (2022). Wind Prediction under Random Data Corruption (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 12945-12946.

Conner Flansburg||Dimitrios I. Diochnos. Wind Prediction under Random Data Corruption (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.12945-12946.

Conner Flansburg||Dimitrios I. Diochnos. 2022. Wind Prediction under Random Data Corruption (Student Abstract). "Proceedings of the AAAI Conference on Artificial Intelligence". 12945-12946.

Conner Flansburg||Dimitrios I. Diochnos. (2022) "Wind Prediction under Random Data Corruption (Student Abstract)", Proceedings of the AAAI Conference on Artificial Intelligence, p.12945-12946

Conner Flansburg||Dimitrios I. Diochnos, "Wind Prediction under Random Data Corruption (Student Abstract)", AAAI, p.12945-12946, 2022.

Conner Flansburg||Dimitrios I. Diochnos. "Wind Prediction under Random Data Corruption (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.12945-12946.

Conner Flansburg||Dimitrios I. Diochnos. "Wind Prediction under Random Data Corruption (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 12945-12946.

Conner Flansburg||Dimitrios I. Diochnos. Wind Prediction under Random Data Corruption (Student Abstract). AAAI[Internet]. 2022[cited 2023]; 12945-12946.


ISSN: 2374-3468


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