52 citations · 124 across the 3 of their papers we have counts for
3 papers
Optimal randomized classification trees
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río +1
Classification and Regression Trees (CARTs) are off-the-shelf techniques in modern Statistics and Machine Learning. CARTs are traditionally built by means of a greedy procedure, se…
On Clustering Categories of Categorical Predictors in Generalized Linear Models
Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
We propose a method to reduce the complexity of Generalized Linear Models in the presence of categorical predictors. The traditional one-hot encoding, where each category is repres…
Sparsity in Optimal Randomized Classification Trees
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río +1
Decision trees are popular Classification and Regression tools and, when small-sized, easy to interpret. Traditionally, a greedy approach has been used to build the trees, yielding…