4 research outputs found
Margin-Based First-Order Rule Learning
Learning sets of first-order rules has a long tradition in machine learning and inductive logic programming. While most traditional systems follow a separateand-conquer approach, many modern systems are based on statistical considerations, such as ensemble theory, large margin classification or graphical models