Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...
This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...
Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...
📊 Ethiopia DTM Round 39 – Sampling and Site Selection (Note That the data is Not available here because of Data Protection) This repository contains Python scripts and Jupyter notebooks for the ...
ABSTRACT: This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster ...
Installation documentation, API documentation, and examples can be found on the documentation. If you use cluster-over-sampling in a scientific publication, we would appreciate citations to any of the ...
Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback