12 citations · 13 across the 6 of their papers we have counts for
7 papers
Search Strategies for Optimal Classification and Regression Trees
Jacobus G. M. van der Linden, Mim van den Bos, Emir Demirović
Optimal decision trees (ODTs) are compact, interpretable machine learning models that globally optimize a given objective, but their scalability remains challenging. While recent w…
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
Elif Arslan, Jacobus G. M. van der Linden, Serge Hoogendoorn +2
Sparse decision tree learning provides accurate and interpretable predictive models that are ideal for high-stakes applications by finding the single most accurate tree within a (s…
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
Catalin E. Brita, Jacobus G. M. van der Linden, Emir Demirović
Computing an optimal classification tree that provably maximizes training performance within a given size limit, is NP-hard, and in practice, most state-of-the-art methods do not s…
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance
Jacobus G. M. van der Linden, Daniël Vos, Mathijs M. de Weerdt +2
Recently there has been a surge of interest in optimal decision tree (ODT) methods that globally optimize accuracy directly, in contrast to traditional approaches that locally opti…
Optimal Survival Trees: A Dynamic Programming Approach
Tim Huisman, Jacobus G. M. van der Linden, Emir Demirović
Survival analysis studies and predicts the time of death, or other singular unrepeated events, based on historical data, while the true time of death for some instances is unknown.…
Train Unit Shunting and Servicing: a Real-Life Application of Multi-Agent Path Finding
Jesse Mulderij, Bob Huisman, Denise Tönissen +2
In between transportation services, trains are parked and maintained at shunting yards. The conflict-free routing of trains to and on these yards and the scheduling of service and…
Complexity of Scheduling Charging in the Smart Grid
Mathijs de Weerdt, Michael Albert, Vincent Conitzer
In the smart grid, the intent is to use flexibility in demand, both to balance demand and supply as well as to resolve potential congestion. A first prominent example of such flexi…