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Algorithmic Statistics and Prediction for Polynomial Time-Bounded Algorithms
2018Algorithmic 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.
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POLYNOMIALLY BOUNDED (-TIME) ALGORITHM (Polynomial algorithm)
2001Saul I. Gass, Carl M. Harris
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A polynomial time algorithm for Minkowski reconstruction
Proceedings of the eleventh annual symposium on Computational geometry - SCG '95, 1995Peter Gritzmann, Alexander Hufnagel
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A polynomial-time algorithm for finding ε in DEA models
Computers and Operations Research, 2004Gholam R Amin, Mehdi Toloo
exaly
A polynomial time algorithm for the construction and training of a class of multilayer perceptrons
Neural Networks, 1993Asim Roy, Somnath Mukhopadhyay
exaly
A polynomial-time algorithm for near-unanimity graphs
Journal of Algorithms, 2005Benoit Larose, László Zadori
exaly
A polynomial-time algorithm for sailing speed optimization with containership resource sharing
Transportation Research Part B: Methodological, 2016Shuaian Wang, Xinchang Wang
exaly

