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1. Abstraction in artificial intelligence and complex systems.

2. Phase transitions in machine learning.

7. Conclusion

9. The Model

12. Introduction

15. Discussion

17. Introduction: The Challenge of Ubiquitous Knowledge Discovery

18. Modelling Physics Knowledge Acquisition in Children with Machine Learning

19. Abstraction in Markov Networks

22. Abstraction in Cartographic Generalization

23. Can Relational Learning Scale Up?

25. Statistical Characterization of a Computer Grid

33. Hypothesis Diversity in Ensemble Classification

34. Learning Profiles Based on Hierarchical Hidden Markov Model

35. Experimental Evaluation of Hierarchical Hidden Markov Models

37. Is a Greedy Covering Strategy an Extreme Boosting?

38. Abstracting Visual Percepts to Learn Concepts

39. Boosting as a Monte Carlo Algorithm

40. Integrated Architectures for Machine Learning

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