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A Mathematical Programming Approach to Optimal Classification Forests
In this paper, we introduce Optimal Classification Forests, a new family of classifiers that takes advantage of an optimal ensemble of decision trees to derive accurate and interpretable classifiers.
Multiclass Optimal Classification Trees with SVM-splits
In this paper we present a novel mathematical optimization-based methodology to construct tree-shaped classification rules for multiclass instances.
Robust Optimal Classification Trees under Noisy Labels
In this paper we propose a novel methodology to construct Optimal Classification Trees that takes into account that noisy labels may occur in the training sample.
A Mathematical Programming approach to Binary Supervised Classification with Label Noise
In this paper we propose novel methodologies to construct Support Vector Machine -based classifiers that takes into account that label noises occur in the training sample.
Optimal arrangements of hyperplanes for multiclass classification
In this paper, we present a novel approach to construct multiclass classifiers by means of arrangements of hyperplanes.
