Learning, Regularity, and Compression
The MIT Press eBooks · 2007
This chapter contains sections titled: 1.1 Regularity and Learning, 1.2 Regularity and Compression, 1.3 Solomonoff's Breakthrough–Kolmogorov Complexity, 1.4 Making the Idea Applicable, 1.5 Crude MDL, Refined MDL and Universal Coding, 1.6 Some Remarks on Model Selection, 1.7 The MDL Philosophy, 1.8 MDL, Occam's Razor, and the True Model, 1.9 History and Forms of MDL, 1.10 Summary and Outlook