2 papers
cs.LG2026
Density-Aware Farthest Point Sampling
Paolo Climaco, Jochen Garcke
We focus on training machine learning regression models in scenarios where the availability of labeled training data is limited due to computational constraints or high labeling co…
cs.LG2024
On minimizing the training set fill distance in machine learning regression
Paolo Climaco, Jochen Garcke
For regression tasks one often leverages large datasets for training predictive machine learning models. However, using large datasets may not be feasible due to computational limi…