🔘 Table of associated records
<meta name="Description" CONTENT="Artificial Intelligence Journal" />
<meta name="r0identifier" content="5e6fade87218b43e4b8d96158080cc85" />
| Rx | Registration ID | Nº |
|---|---|---|
| R0 | Hash MD5 (of R3): | 5e6fade87218b43e4b8d96158080cc85 |
| R1 | Registration number (in the domain editorialia.com at WordPress): | dmeditorialiawp.31553 |
| R2 | Date-p-order (ddmmyyyypx): | 18092021p1 |
| R3 | Cid (combined id R1+R2): | dmeditorialiawp.3155318092021p1 |
| R4 | Resource official title: | A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning |
| R5 | Publisher: | arXiv.org |
| R6 | Resource website (1) ( #OpenAccess | #Openscience ): | arxiv.org/pdf/2109.02355v1.pdf |
| R9 | DOI: | arXiv:2109.02355v1 [stat.ML] |
| R12 | Authors (separated by commas): | Yehuda Dar, Vidya Muthukumar, Richard G. Baraniuk |
| R14 | Keyword (selected 1 among the labels applied to this entry): | =MachineLearning |
| R15 | QR code (of the linked url at WP): | |
| R16 | Time stamp URL: | |
| R17 | Digital signature URL: | Pending signature |
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