Fractal dimension and logarithmic loss unpredictability

Publisher： Elsevier

ISSN： 0304-3975

Source： Theoretical Computer Science, Vol.304, Iss.1, 2003-07, pp. : 431-441

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Worst-Case Bounds for the Logarithmic Loss of Predictors

By Cesa-Bianchi N.

Machine Learning, Vol. 43, Iss. 3, 2001-06 ,pp. : 247-264

Springer Publishing Company

Access to resources Recommend Favorite

Detecting patterns in process data with fractal dimension

By Purintrapiban U. Kachitvichyanukul V.

Computers and Industrial Engineering, Vol. 45, Iss. 4, 2003-12 ,pp. : 653-667

Elsevier

Access to resources Recommend Favorite

Fractal Dimension and Inconsistencies in Cartographic Line Representations

By Muller J.-C.

The Cartographic Journal, Vol. 23, Iss. 2, 1986-12 ,pp. : 123-130

Maney Publishing

Access to resources Recommend Favorite

Fluctuations of the fractal dimension of the electroencephalogram during periodic breathing in heart failure patients

By Maestri Roberto La Rovere Maria Robbi Elena Pinna Gian

Journal of Computational Neuroscience, Vol. 28, Iss. 3, 2010-06 ,pp. : 557-565

Springer Publishing Company

Access to resources Recommend Favorite

Amplification of Signal Features Using Variance Fractal Dimension Trajectory

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), Vol. 4, Iss. 4, 2010-10 ,pp. : 1-17

IGI Global_journal

Access to resources Recommend Favorite