kFOIL
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Related Items (14)
FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data ⋮ Learning Probabilistic Logic Programs over Continuous Data ⋮ FOLD-R++: a scalable toolset for automated inductive learning of default theories from mixed data ⋮ Block-wise construction of tree-like relational features with monotone reducibility and redundancy ⋮ Semi-supervised online structure learning for composite event recognition ⋮ kProbLog: an algebraic Prolog for machine learning ⋮ Bridging logic and kernel machines ⋮ An investigation into feature construction to assist word sense disambiguation ⋮ Fast learning of relational kernels ⋮ White-box Induction From SVM Models: Explainable AI with Logic Programming ⋮ Semantic-based regularization for learning and inference ⋮ Margin-based first-order rule learning ⋮ kProbLog: An Algebraic Prolog for Kernel Programming ⋮ Regression learning based on incomplete relationships between attributes
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