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|a UAMI
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|a Muggleton, Stephen,
|e author.
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|a Latest advances in inductive logic programming /
|c Stephen Muggleton, Imperial College London, UK, Hiroaki Watanabe, Imperial College London, UK.
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264 |
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|a Hackensack, NJ :
|b Imperial College Press,
|c 2014.
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300 |
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|a 1 online resource
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|a text
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|a Includes bibliographical references and index.
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|a Print version record.
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|a Contents -- Preface -- Acknowledgments -- Part 1: Applications -- 1. Can ILP Learn Complete and Correct Game Strategies? -- 1.1 Introduction -- 1.2 ILP Representation of Games -- 1.2.1 Learning schema -- 1.3 Experiments -- 1.3.1 Learning N-P position of impartial games by ILP -- 1.3.2 Experiment to determine performance on Nim of ANNs, SVMs and CBRs -- 1.4 Related Work, Conclusions and Future Work -- Bibliography -- 2. Induction in Nonmonotonic Causal Theories for a Domestic Service Robot -- 2.1 Introduction -- 2.2 Nonmonotonic Causal Theories
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|a ""2.3 Induction in Causal Theories""""2.4 A Case Study in a Domestic Service Robot�s Domain""; ""2.5 Discussion and Conclusion""; ""Bibliography""; ""3. Using Ontologies in Semantic DataMining with g-SEGS and Aleph""; ""3.1 Introduction""; ""3.2 Related Work""; ""3.3 g-SEGS""; ""3.4 Problem Formulation in Aleph""; ""3.5 Experimental Results""; ""3.6 Conclusion""; ""Acknowledgments""; ""Bibliography""; ""4. Improving Search Engine Query Expansion Techniques with ILP""; ""4.1 Introduction and Motivation""; ""4.2 Experiments""; ""4.2.1 Materials""; ""4.2.2 Problem modeling""
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|a 4.2.3 Rule learning4.2.4 From ILP rules to new alterations -- 4.3 Conclusions and Future Work -- Acknowledgments -- Bibliography -- 5. ILP for Cosmetic Product Selection -- 5.1 Introduction -- 5.2 Previous Cosmetics Recommendation Service Using the Smartphone -- 5.3 Design and Implementation of Diagnosis System by Smart phone -- 5.3.1 Application of SVM learning data -- 5.3.2 Application of the ILP rules -- 5.4 Conclusion -- Bibliography -- 6. Learning User Behaviours in Real Mobile Domains -- 6.1 Introduction -- 6.2 Background
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|a 6.3 Towards an Adaptive System Using ILP6.4 Real Mobile-Domain Applications -- 6.5 Conclusion -- Bibliography -- 7. Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis -- 7.1 Introduction -- 7.2 Methods -- 7.3 Results and Discussion -- Acknowledgments -- Bibliography -- 8. Predictive Learning in Two-Way Datasets -- 8.1 Situating Two-Way Learning -- 8.2 The Effects of Transposition -- 8.3 Applications -- 8.3.1 Microprocessor-data -- 8.3.2 Ecological data -- 8.4 Conclusions -- Acknowledgment -- Bibliography
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|a 9. Model of Double-Strand Break of DNA in Logic-Based Hypothesis Finding9.1 Introduction -- 9.2 Double-Strand Break of DNA -- 9.3 Ampliative Reasoning in Biological Systems -- 9.3.1 Hypothesis finding from first-order full clausal theories -- 9.4 Logical Model of a Double-Strand Break -- 9.5 Results -- 9.6 Conclusion -- Bibliography -- Part 2: Probabilistic Logical Learning -- 10. The PITA System for Logical-Probabilistic Inference -- 10.1 Introduction -- 10.2 Probabilistic Logic Programming -- 10.3 The PITA System -- 10.4 Experiments -- Bibliography
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
|
0 |
|a Logic programming.
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650 |
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|a Induction (Logic)
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650 |
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|a Machine learning.
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650 |
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|a Programmation logique.
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650 |
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6 |
|a Induction (Logique)
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650 |
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|a Apprentissage automatique.
|
650 |
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|a COMPUTERS
|x General.
|2 bisacsh
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|
7 |
|a Induction (Logic)
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|a Watanabe, Hiroaki,
|d 1969-
|e author.
|
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0 |
8 |
|i Print version:
|a Muggleton, Stephen.
|t Latest advances in inductive logic programming
|z 9781783265084
|w (DLC) 2014033096
|w (OCoLC)889666483
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856 |
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