Exploring diversity through machine learning: a case for the use of decision trees in social science research
The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning te...
محفوظ في:
| المؤلف الرئيسي: | Srour, F. Jordan (author) |
|---|---|
| مؤلفون آخرون: | Karkoulian, Silva (author) |
| التنسيق: | article |
| منشور في: |
2021
|
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/17291 https://doi.org/10.1080/13645579.2021.1933064 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.tandfonline.com/doi/full/10.1080/13645579.2021.1933064 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Decision trees
حسب: Srour, F. Jordan
منشور في: (2026) -
Using decision trees to disentangle the complex relationship between diversity and knowledge sharing
حسب: Srour, F. Jordan
منشور في: (2018) -
On learning better decision trees
حسب: Al-Afandi, Muhammad Nauwar
منشور في: (1996) -
Learning continuous functions using decision tree learning algorithms
حسب: Ibrahim, Ahmed Esmat Mahmoud
منشور في: (2001) -
Reservoir formation facies identification using decision tree learning.
حسب: Al-Faraj, Shaker Ali Ahmed.
منشور في: (1998)