Latest advances in inductive logic programming /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Muggleton, Stephen (Autor), Watanabe, Hiroaki, 1969- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, NJ : Imperial College Press, 2014.
Temas:
Logic programming.
Induction (Logic)
Machine learning.
Programmation logique.
Induction (Logique)
Apprentissage automatique.
COMPUTERS > General.
Logic programming
Machine learning
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • ""2.3 Induction in Causal Theories""""2.4 A Case Study in a Domestic Service Robotâ€?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""
  • 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
  • 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
  • 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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