19,801 to 19,810 of 19,906 Results
Mar 30, 2021 -
Sample 1 of human femoral heads: micro-XRCT data sets
RAR Archive - 22.1 GB -
MD5: 1f0d0e687f4998b721a22089445b7497
Reconstructed micro-XRCT data set in 16 bit *.tif file format. 2940x2940x2141 voxels with the uniform voxel size of 15.0 µm. Overview scan. |
Mar 30, 2021 -
Sample 1 of human femoral heads: micro-XRCT data sets
RAR Archive - 24.0 GB -
MD5: 79840054a7070d15925ca348fe6c2773
Reconstructed micro-XRCT data set in 16 bit *.tif file format. 2940x2940x2141 voxels with the uniform voxel size of 5.0 µm. Lower part scan. |
Mar 30, 2021 -
Sample 1 of human femoral heads: micro-XRCT data sets
RAR Archive - 23.8 GB -
MD5: 526700772056245bbcbde7ebc70ddbd9
Reconstructed micro-XRCT data set in 16 bit *.tif file format. 2940x2940x2141 voxels with the uniform voxel size of 5.0 µm. Upper part scan. |
Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 16.2 KB -
MD5: 727ea9050972d03f12c6aa5b32b7e37c
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Gzip Archive - 5.6 GB -
MD5: 220970917c2371206a808c02bbb9f359
Data generated by running the code |
Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 2.7 KB -
MD5: d298130fc29f0a84b33b58ad0d100a06
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 15.3 KB -
MD5: 9017e22f361d3ee27b7fa52a241a2834
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Markdown Text - 1.6 KB -
MD5: d2572a82e8003c56d0307012ac4069d8
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 11.1 KB -
MD5: 1a719b0984045eca7ce97bc54b4b9e2b
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 2.6 KB -
MD5: f921b3cd6389ea9f8e4707a3655a75f7
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