Inductive Logic Programming - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Derivation Reduction of Metarules in Meta-interpretive Learning -- 1 Introduction -- 1.1 Contributions -- 2 Related Work -- 3 Logical Reduction -- 3.1 Preliminaries -- 3.2 Entailment Reduction -- 3.3 Derivation Reduction -- 3.4 Language Class and Hypothesis Space -- 4 Reduction of Metarules -- 4.1 Exactly-Two-Connected Fragment -- 4.2 Two-Connected Fragment -- 4.3 Discussion -- 5 Experiments -- 6 Conclusions and Further Work -- A Exactly-Two-Connected Fragment -- B Two-connected fragment -- References -- Large-Scale Assessment of Deep Relational Machines -- 1 Introduction -- 2 Deep Relational Machines for Prediction -- 3 Empirical Assessment of DRMs -- 3.1 Aims -- 3.2 Data -- 3.3 Background Knowledge -- 3.4 DRM Architecture -- 3.5 State-of-the-Art -- 3.6 Results -- 4 Concluding Remarks -- References -- How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? -- 1 Introduction -- 2 Related Work -- 3 Theoretical Framework -- 3.1 Notations -- 3.2 Meta-Interpretive Learning (MIL) -- 3.3 Complexity of an Hypothesis -- 3.4 Bayesian Prior Distribution -- 3.5 Active Learning -- 3.6 Learning Protocol -- 4 Theoretical Analysis -- 5 Implementation -- 5.1 Sampling a Set of Hypotheses -- 5.2 Computing the Entropies -- 6 Experiments -- 6.1 Experimental Hypothesis -- 6.2 Learning Regular Grammars -- 6.3 Learning a Bee Strategy -- 6.4 Results and Discussion -- 7 Conclusion and Future Work -- References -- Diagnostics of Trains with Semantic Diagnostics Rules -- 1 Introduction -- 2 Signal Processing Language SDRL -- 3 Our System and Siemens Deployment -- 4 Siemens Experiments -- 5 Related Work -- 6 Conclusion -- References -- The Game of Bridge: A Challenge for ILP -- 1 Introduction -- 2 Description of the Bridge Problem -- 2.1 Opening Bid Problem -- 3 Learning Problem and First Model

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