Search Results - "Inductive Logic Programming"

Inductive logic programming at 30 by Cropper, Andrew, Dumančić, Sebastijan, Evans, Richard, Muggleton, Stephen H.

“…Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program…”
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Best-effort inductive logic programming via fine-grained cost-based hypothesis generation: The inspire system at the inductive logic programming competition by Schüller, Peter, Benz, Mishal

“…We describe the Inspire system which participated in the first competition on inductive logic programming (ILP…”
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Inductive Logic Programming At 30: A New Introduction by Cropper, Andrew, Dumančić, Sebastijan

“…Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypothesis…”
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Conflict-Driven Inductive Logic Programming by LAW, MARK

“…The goal of inductive logic programming (ILP) is to learn a program that explains a set of examples…”
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A differentiable first-order rule learner for inductive logic programming by Gao, Kun, Inoue, Katsumi, Cao, Yongzhi, Wang, Hanpin

“… Inductive logic programming (ILP) models are effective in learning first-order logic programs from observed relational data…”
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Incremental learning of event definitions with Inductive Logic Programming by Katzouris, Nikos, Artikis, Alexander, Paliouras, Georgios

“… Using a logical framework for representing and reasoning about events offers direct connections to machine learning, via Inductive Logic Programming (ILP…”
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A Critical Review of Inductive Logic Programming Techniques for Explainable AI by Zhang, Zheng, Yilmaz, Levent, Liu, Bo

“… Inductive logic programming (ILP), a subfield of symbolic AI, plays a promising role in generating interpretable explanations because of its intuitive logic-driven framework…”
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Lifting symmetry breaking constraints with inductive logic programming by Tarzariol, Alice, Gebser, Martin, Schekotihin, Konstantin

“…Efficient omission of symmetric solution candidates is essential for combinatorial problem-solving. Most of the existing approaches are instance-specific and…”
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A learning-based ontology alignment approach using inductive logic programming by Karimi, Hamed, Kamandi, Ali

“…•A new approach to find ontology mapping using inductive logic programming.•The ability to use background knowledge, as an input to induction algorithm…”
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Generating contrastive explanations for inductive logic programming based on a near miss approach by Rabold, Johannes, Siebers, Michael, Schmid, Ute

“…In recent research, human-understandable explanations of machine learning models have received a lot of attention. Often explanations are given in form of…”
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Active Inductive Logic Programming for Code Search by Sivaraman, Aishwarya, Zhang, Tianyi, Van den Broeck, Guy, Kim, Miryung

“… Users can refine the search query by labeling one or more examples as desired (positive) or irrelevant (negative). ALICE then infers a new logic query that separates positive examples from negative examples via active inductive logic programming…”
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Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach by Meli, Daniele, Castellini, Alberto, Farinelli, Alessandro

“…Partially Observable Markov Decision Processes (POMDPs) are a powerful framework for planning under uncertainty. They allow to model state uncertainty as a…”
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Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation by HILLERSTRÖM, FIEKE, BURGHOUTS, GERTJAN

“…Many inductive logic programming (ILP) methods are incapable of learning programs from probabilistic background knowledge, for example, coming from sensory data or neural networks with probabilities…”
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Guest editors’ introduction: special issue on Inductive Logic Programming (ILP 2019) by Kazakov, Dimitar, Železný, Filip

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Deep Inductive Logic Programming meets Reinforcement Learning by Bueff, Andreas, Belle, Vaishak

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Special issue on inductive logic programming by Inoue, Katsumi, Ohwada, Hayato, Yamamoto, Akihiro

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Improving scalability of inductive logic programming via pruning and best-effort optimisation by Kazmi, Mishal, Schüller, Peter, Saygın, Yücel

“…•Obtaining competitive results and explainable hypotheses in sentence chunking. Inductive Logic Programming (ILP…”
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Preface to the special issue on inductive logic programming by Cussens, James, Russo, Alessandra

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"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming by Rückschloß, Kilian, Weitkämper, Felix

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Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018 by Lachiche, Nicolas, Vrain, Christel, Riguzzi, Fabrizio, Bellodi, Elena, Zese, Riccardo

“…Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Programming, based on logic as a uniform representation language…”
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