4 citations · 4 across the 10 of their papers we have counts for
3 papers · 1 filter
Mixed-Integer Linear Optimization for Cardinality-Constrained Random Forests
Jan Pablo Burgard, Maria Eduarda Pinheiro, Martin Schmidt
Random forests are among the most famous algorithms for solving classification problems, in particular for large-scale data sets. Considering a set of labeled points and several de…
Mixed-Integer Linear Optimization for Semi-Supervised Optimal Classification Trees
Jan Pablo Burgard, Maria Eduarda Pinheiro, Martin Schmidt
Decision trees are one of the most popular methods for solving classification problems, mainly because of their good interpretability properties. Moreover, due to advances in recen…
Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines
Jan Pablo Burgard, Maria Eduarda Pinheiro, Martin Schmidt
Among the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a separating hyperplane for a set of labeled data points. In som…