Expect to see an emphasis on the scholarly and research implications of the acquisition. I’m no Ph.D., but it boggles my mind to think what we might be able to learn about ourselves and the world around us from this wealth of data. And I’m certain we’ll learn things that none of us now can even possibly conceive.
DMEF data sets are made available to approved educators for use within academic situations, classes, independent study or research projects. Costs and usage rules vary.
Contains various map databases on topics including topography, biodiversity, water use, etc. Also contains links to other GIS data sources. A good starting point for searching for GIS data from the United States.
DMEF data sets are made available to approved educators for use within academic situations, classes, independent study or research projects. Costs and usage rules vary.
The Yahoo! Webscope™ Program is a reference library of interesting and scientifically useful datasets for non-commercial use by academics and other scientists. All datasets have been reviewed to conform to Yahoo!'s data protection standards, including strict controls on privacy. We have a number of datasets that we are excited to share with you. Learn how to get involved.
Fleiss' kappa is a statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items. This contrasts with other kappas such as Cohen's kappa, which only work when assessing the agreement between two raters. The measure calculates the degree of agreement in classification over that which would be expected by chance and is scored as a number between 0 and 1. There is no generally agreed on measure of significance, although guidelines have been given.
A. Dulny, A. Hotho, и A. Krause. Machine Learning and Knowledge Discovery in Databases: Research Track, стр. 438--455. Cham, Springer Nature Switzerland, (2023)
A. Dulny, A. Hotho, и A. Krause. Machine Learning and Knowledge Discovery in Databases: Research Track, стр. 438--455. Cham, Springer Nature Switzerland, (2023)
A. Dulny, A. Hotho, и A. Krause. Machine Learning and Knowledge Discovery in Databases: Research Track, стр. 438--455. Cham, Springer Nature Switzerland, (2023)