… formally specified the learning setting addressed by kFOIL. It is … kFOIL system, which
introduces a simple integration of inductive logic programming methods with support vector learning…

… on ILP and kernel machines for statistical learning; in Sect. 3 we introduce our framework for
statistical relational learning with kernels, and present kFOIL as a simple instantiation within …

… It builds on simple but powerful concepts: learning from … and framework for kernel-based
logical and relational learning. The … specify relational learning tasks in a similar way as statistical …

… of convolution kernels, providing a simple interface for the incorporation of relational background
… kFOIL learns the kernel function by searching a definite clause theory that “covers” the …

… relational Fisher kernels based on Bayesian logic programs. Before concluding, we
experimentally evaluate relational Fisher kernels in … They are ’off-the-shelf’ kernels and are easy to …

… We introduce hierarchical kFOIL as a simple extension of the multitask kFOIL learning …
Taking a discriminative viewpoint, kFOIL [24] greedily learns a relational kernel representation …

… kernel for every clause to employ simple kernels on dimensions. … In particular, kFOIL
employs a kernel based on logical … In addition, kFOIL employs an iterative algorithm that revises …

… kFOIL as a simple extension of the multitask kFOIL learning … al [4] for learning multitask
probabilistic planning rules from a … , kFOIL [5] greedily learns a relational kernel representation …

… is a relational language for specifying kernel-based learning … Furthermore, unlike kLog
and kFOIL, such a kernel based … More specifically, we propose kProbLog, a simple algebraic …

… FOIL and KFOIL learning systems are respectively run on artificially … [12]) are two basic
generalization techniques. Top-down … KFOIL [24] system integrates FOIL with kernel methods. The …