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1. Fibring Neural Networks

2. Connectionist Temporal Reasoning

3. Connectionist Intuitionistic Reasoning

4. Introduction

5. Connectionist Modal Logic

6. Applications of Connectionist Nonclassical Reasoning

7. Neural-Symbolic Learning Systems

8. Artificial Neural Networks

9. Logic and Knowledge Representation

10. Conclusions

11. Reasoning about Probabilities in Neural Networks

12. Relational Learning in Neural Networks

13. Argumentation Frameworks as Neural Networks

14. Combining Textual and Visual Information for Semantic Labeling of Images and Videos

15. Machine Learning Techniques for Face Analysis

16. Conservative Learning for Object Detectors

17. Online Content-Based Image Retrieval Using Active Learning

18. Classification and Clustering of Music for Novel Music Access Applications

19. Mental Search in Image Databases: Implicit Versus Explicit Content Query

20. Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization

21. Dimension Reduction

22. Supervised Learning

23. Introduction to Bayesian Methods and Decision Theory

24. Unsupervised Learning and Clustering

25. Probabilistic Logic Learning

26. Inducing Theories

27. The Upgrading Story

28. Introduction

29. Kernels and Distances for Structured Data

30. Representations for Mining and Learning

31. Lessons Learned

32. Generality and Logical Entailment

33. An Introduction to Learning and Search

34. An Introduction to Logic

36. Conclusions

38. Artificial Perception-Action Systems

39. Introduction

40. Physical Sensors and Walking Machine Platforms

41. Biologically Inspired Perception-Action Systems

42. Neural Concepts and Modeling

43. Fuzzy Measures

44. Introduction to Functional Equations

45. Selection of the Model

46. Synthesis of Judgements

47. The Novamente Artificial Intelligence Engine

48. From the Weighted Mean to Fuzzy Integrals

49. Intelligent Interfaces for Groups in a Museum

50. Indices and Evaluation Methods

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