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Algorithmic Statistics and Prediction for Polynomial Time-Bounded Algorithms

2018
Algorithmic statistics studies explanations of observed data that are good in the algorithmic sense: an explanation should be simple i.e. should have small Kolmogorov complexity and capture all the algorithmically discoverable regularities in the data. However this idea can not be used in practice as is because Kolmogorov complexity is not computable.
openaire   +1 more source

A polynomial time algorithm for Minkowski reconstruction

Proceedings of the eleventh annual symposium on Computational geometry - SCG '95, 1995
Peter Gritzmann, Alexander Hufnagel
openaire   +1 more source

A polynomial-time algorithm for finding ε in DEA models

Computers and Operations Research, 2004
Gholam R Amin, Mehdi Toloo
exaly  

A polynomial-time algorithm for near-unanimity graphs

Journal of Algorithms, 2005
Benoit Larose, László Zadori
exaly  

A polynomial-time algorithm for sailing speed optimization with containership resource sharing

Transportation Research Part B: Methodological, 2016
Shuaian Wang, Xinchang Wang
exaly  

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