Publications
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes
We answer develop a method to automatically extract qualitative influence statements from a learned probabilistic model.
srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
srlearn is a Python library for learning gradient-boosted statistical relational models.
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
Inductive Logic Programming systems allow domain experts to provide background knowledge to constrain to search space of hypotheses. This machine learning interface includes an algorithm for translating these constraints from Entity-Relationship Diagrams.