The following pages link to kFOIL (Q35131):
Displaying 14 items.
- Block-wise construction of tree-like relational features with monotone reducibility and redundancy (Q413862) (← links)
- Bridging logic and kernel machines (Q439018) (← links)
- Semantic-based regularization for learning and inference (Q511774) (← links)
- Regression learning based on incomplete relationships between attributes (Q781025) (← links)
- Margin-based first-order rule learning (Q1009245) (← links)
- kProbLog: an algebraic Prolog for machine learning (Q1699913) (← links)
- An investigation into feature construction to assist word sense disambiguation (Q1959499) (← links)
- Fast learning of relational kernels (Q1959554) (← links)
- FOLD-R++: a scalable toolset for automated inductive learning of default theories from mixed data (Q2163174) (← links)
- Semi-supervised online structure learning for composite event recognition (Q2425248) (← links)
- kProbLog: An Algebraic Prolog for Kernel Programming (Q2827476) (← links)
- FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data (Q5038469) (← links)
- Learning Probabilistic Logic Programs over Continuous Data (Q5041772) (← links)
- White-box Induction From SVM Models: Explainable AI with Logic Programming (Q5140006) (← links)