2 papers
cs.LG2019
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering
Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi
The Data Clustering (DC) problem is of central importance for the area of Machine Learning (ML), given its usefulness to represent data structural similarities from input spaces. D…
cs.LG2018
Computing the Shattering Coefficient of Supervised Learning Algorithms
Rodrigo Fernandes de Mello, Moacir Antonelli Ponti, Carlos Henrique Grossi Ferreira
The Statistical Learning Theory (SLT) provides the theoretical guarantees for supervised machine learning based on the Empirical Risk Minimization Principle (ERMP). Such principle…