Transfer Learning Using the Minimum Description Length Principle with a Decision Tree Application
作者： Höskuldur Hlynsson
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uva.nl 参考文章(30)
Ian H. Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) ,(2005)
Tom M. Mitchell, The Need for Biases in Learning Generalizations ,(2007)
Jorma Rissanen, Rakesh Agrawal, Manish Mehta, MDL-based decision tree pruning knowledge discovery and data mining. pp. 216- 221 ,(1995)
Robert E. Haskell, Transfer of Learning: Cognition, Instruction, and Reasoning ,(2011)
David H. Wolpert, William G. Macready, No Free Lunch Theorems for Search Research Papers in Economics. ,(1995)
Jorma Rissanen, Stochastic Complexity In Statistical Inquiry ,(1989)
László Györfi, Luc Devroye, Gábor Lugosi, A Probabilistic Theory of Pattern Recognition ,(1996)
Peter Grünwald, A Tutorial Introduction to the Minimum Description Length Principle arXiv: Statistics Theory. ,(2004)
Paul Vitányi, Ming Li, An Introduction to Kolmogorov Complexity and Its Applications ,(1993)
C.S. Wallace, J.D. Patrick, Coding Decision Trees Machine Learning. ,vol. 11, pp. 7- 22 ,(1993) , 10.1023/A:1022646101185