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5. Active Learning

10. Markov Network

11. Most General Hypothesis

12. Mean Absolute Deviation

13. Multi-Relational Data Mining

14. Merge-Purge

15. Multi-Agent Learning I: Problem Definition

16. Markov Model

17. Markov Chain Monte Carlo

18. MOO

19. Memory-Based Learning

20. Markov Blanket

21. Medicine: Applications of Machine Learning

22. Multi-Objective Optimization

23. Manhattan Distance

24. Minimum Cuts

25. Model-Based Clustering

26. Markov Random Field

27. Machine Learning for IT Security

28. Minimum Encoding Inference

29. Multiple Classifier Systems

30. Mean Shift

31. Mean Squared Error

32. Minimum Message Length

33. Must-Link Constraint

34. Multi-Criteria Optimization

35. Model Trees

36. Mean Error

37. Markovian Decision Rule

38. Model-Based Reinforcement Learning

39. Missing Attribute Values

40. Multi-Armed Bandit

41. Mean Absolute Error

42. Most Similar Point

43. Mode Analysis

44. Maximum Entropy Models for Natural Language Processing

45. Missing Values

46. McDiarmid’s Inequality

47. Memory Organization Packets

48. Multi-Agent Learning II: Algorithms

49. Most Specific Hypothesis

50. Minimum Description Length Principle

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