32 citations · 60 across the 9 of their papers we have counts for
5 papers · 1 filter
Conditional Density Estimation with Histogram Trees
Lincen Yang, Matthijs van Leeuwen
Conditional density estimation (CDE) goes beyond regression by modeling the full conditional distribution, providing a richer understanding of the data than just the conditional me…
Monotonic anomaly detection
Oliver Urs Lenz, Matthijs van Leeuwen
Semi-supervised anomaly detection is based on the principle that any record that looks different from normal training data is a potential anomaly. However, in some cases we are spe…
Probabilistic Truly Unordered Rule Sets
Lincen Yang, Matthijs van Leeuwen
Rule set learning has recently been frequently revisited because of its interpretability. Existing methods have several shortcomings though. First, most existing methods impose ord…
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
Lincen Yang, Matthijs van Leeuwen
Rule set learning has long been studied and has recently been frequently revisited due to the need for interpretable models. Still, existing methods have several shortcomings: 1) m…
Unsupervised Discretization by Two-dimensional MDL-based Histogram
Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
Unsupervised discretization is a crucial step in many knowledge discovery tasks. The state-of-the-art method for one-dimensional data infers locally adaptive histograms using the m…