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Toby Dylan Hocking

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Articles

Same/Other/All K‐Fold Cross‐Validation for Estimating Similarity of Patterns in Data Subsets

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By Toby Dylan Hocking, Gabrielle Thibault, Cameron Bodine, Paul Arellano
| Wiley Online Library Verified
1 Introduction A fundamental assumption in supervised learning is similarity between the train data (input to the learning algorithm) and test data (used to evaluate prediction accuracy of the learned model). This assumption is known as “independent and identically distributed” (i.i.d.) in statistics [1].
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Interval Regression: A Comparative Study with Proposed Models

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By Toby Dylan, Toby Dylan Hocking
| arxiv.org
[Submitted on 3 Mar 2025 ( v1 ), last revised 4 Dec 2025 (this version, v2)] Title:Interval Regression: A Comparative Study with Proposed Models View a PDF of the paper titled Interval Regression: A Comparative Study with Proposed Models, by Tung L Nguyen and 1 other authors View PDF HTML (experimental) Abstract:Regression models are essential for a wide range of real-world applications.
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[2410.08635] Efficient line search for optimizing Area Under the ROC Curve in gradient descent

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By Toby Dylan, Toby Dylan Hocking
| arxiv.org
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