2 papers
math.OC2025
Acceleration Techniques for Learning Optimal Classification Trees with Integer Programming
Mitchell Keegan, Michael Forbes, Paul Corry +1
Decision trees are a popular machine learning model which are traditionally trained by heuristic methods. Massive improvements in computing power and optimisation techniques has le…
q-bio.QM2025
Hybrid restricted master problem for Boolean matrix factorisation
Ellen Visscher, Michael Forbes, Christopher Yau
We present bfact, a Python package for performing accurate low-rank Boolean matrix factorisation (BMF). bfact uses a hybrid combinatorial optimisation approach based on a priori ca…