Machine learning approach for multidimensional poverty estimation
In the social sciences, a theoretical analysis has predominated in its research. The scarcity of data and its difficulty in collecting and storing it, has been the main limitation for the social sciences to adopt quantitative approaches. However, the large amount of information generated in recent...
Saved in:
| Main Authors: | Mario Esteban Ochoa Guaraca, Ricardo Castro, Alexander Arias Pallaroso, Antonia Machado, Dolores Sucozhañay |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Escuela Superior Politécnica del Litoral
2021-11-01
|
| Series: | Revista Tecnológica |
| Subjects: | |
| Online Access: | https://rte.espol.edu.ec/index.php/tecnologica/article/view/853 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on multidimensional shrinkage spatial-temporal patterns and driving forces of cities in the Yellow River Basin
by: Guangrui Xing, et al.
Published: (2025-07-01) -
On the relationship of speed limit and CO2 emissions in urban traffic
by: Tamás Tettamanti, et al.
Published: (2025-07-01) -
Malware Detection Using a Random Forest Method Trained on a Balanced Synthetic Dataset
by: Neo Onica Matsobane, et al.
Published: (2025-03-01) -
A combined feature selection approach for malicious email detection based on a comprehensive email dataset
by: Han Zhang, et al.
Published: (2025-02-01) -
Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN
by: Kuni Inayah, et al.
Published: (2024-08-01)