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CORR
2011
Springer
172views Education» more  CORR 2011»
13 years 14 days ago
Possibilities and impossibilities in Kolmogorov complexity extraction
Randomness extraction is the process of constructing a source of randomness of high quality from one or several sources of randomness of lower quality. The problem can be modeled ...
Marius Zimand
FSTTCS
2009
Springer
14 years 1 days ago
Kolmogorov Complexity in Randomness Extraction
We clarify the role of Kolmogorov complexity in the area of randomness extraction. We show that a computable function is an almost randomness extractor if and only if it is a Kolm...
John M. Hitchcock, Aduri Pavan, N. V. Vinodchandra...
STACS
2007
Springer
13 years 11 months ago
Kolmogorov-Loveland Stochasticity and Kolmogorov Complexity
Abstract. Merkle et al. [13] showed that all Kolmogorov-Loveland stochas
Laurent Bienvenu
DCC
2006
IEEE
14 years 5 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
ICALP
2007
Springer
13 years 11 months ago
Reconciling Data Compression and Kolmogorov Complexity
While data compression and Kolmogorov complexity are both about effective coding of words, the two settings differ in the following respect. A compression algorithm or compressor...
Laurent Bienvenu, Wolfgang Merkle