4,891 to 4,900 of 4,903 Results
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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Nov 2, 2020 - PN 6-4
Munz, Tanja; Schäfer, Noel; Blascheck, Tanja; Kurzhals, Kuno; Zhang, Eugene; Weiskopf, Daniel, 2020, "Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games", https://doi.org/10.18419/DARUS-1130, DaRUS, V1
Supplemental material for "Comparative Visual Gaze Analysis for Virtual Board Games". Contains the source code, an executable file, an example data set, a video for demonstration of the analysis system and additional information about Go. The analysis system supports eye tracking researchers in analyzing and comparing eye movement behavior of two p... |
PNG Image - 662.9 KB -
MD5: 5068b2ecd03c252fdf386983052df6d8
Screenshot of the analysis system |
ZIP Archive - 63.8 MB -
MD5: 8082811d4563eaffbed93e1bdfc0dd05
Video demonstrating the features of the system |
ZIP Archive - 101.2 MB -
MD5: dd836aa0f27d6260f8b011143a6ae60d
Example dataset that was recorded with two different eye trackers; it can be loaded into the analysis system |
ZIP Archive - 1.0 MB -
MD5: 78e6d3f046a965031bfc2f51055a11f4
Additional information about Go |
