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» Measuring empirical computational complexity
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COLT
2003
Springer
15 years 9 months ago
Sequence Prediction Based on Monotone Complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=−log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomon...
Marcus Hutter
JCSS
2006
77views more  JCSS 2006»
15 years 4 months ago
Sequential predictions based on algorithmic complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=-log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomonof...
Marcus Hutter
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 9 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
ICPR
2002
IEEE
15 years 9 months ago
Face Recognition Using Optimal Non-Orthogonal Wavelet Basis Evaluated by Information Complexity
Detecting and recognizing face images automatically is a difficult task due to the variability of illumination, presentation angle, face expression and other common problems of m...
Xiaoling Wang, Hairong Qi
TCOM
2010
108views more  TCOM 2010»
15 years 2 months ago
On the condition number distribution of complex wishart matrices
Abstract—This paper investigates the distribution of the condition number of complex Wishart matrices. Two closely related measures are considered: the standard condition number ...
Michail Matthaiou, Matthew R. McKay, Peter J. Smit...