3 citations · 9 across the 3 of their papers we have counts for
3 papers
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…
Adaptive scheduling for adaptive sampling in POS taggers construction
Manuel Vilares Ferro, Victor M. Darriba Bilbao, Jesús Vilares Ferro
We introduce an adaptive scheduling for adaptive sampling as a novel way of machine learning in the construction of part-of-speech taggers. The goal is to speed up the training on…
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…