3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 3 cited
Absolute convergence and error thresholds in non-active adaptive sampling
Manuel Vilares Ferro, Victor M. Darriba Bilbao, Jesús Vilares Ferro
Non-active adaptive sampling is a way of building machine learning models from a training data base which are supposed to dynamically and automatically derive guaranteed sample siz…
cs.LG2024★ 3 cited
Early stopping by correlating online indicators in neural networks
Manuel Vilares Ferro, Yerai Doval Mosquera, Francisco J. Ribadas Pena +1
In order to minimize the generalization error in neural networks, a novel technique to identify overfitting phenomena when training the learner is formally introduced. This enables…