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ICML
1999
IEEE
14 years 8 months ago
Machine-Learning Applications of Algorithmic Randomness
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
Volodya Vovk, Alexander Gammerman, Craig Saunders
4OR
2005
104views more  4OR 2005»
13 years 7 months ago
The robust shortest path problem with interval data via Benders decomposition
Many real problems can be modelled as robust shortest path problems on digraphs with interval costs, where intervals represent uncertainty about real costs and a robust path is not...
Roberto Montemanni, Luca Maria Gambardella
CEC
2007
IEEE
14 years 2 months ago
A simple genetic algorithm for music generation by means of algorithmic information theory
— Recent large scale experiments have shown that the Normalized Information Distance, an algorithmic information measure, is among the best similarity metrics for melody classi...
Manuel Alfonseca, Manuel Cebrián, Alfonso O...
ISCI
2008
88views more  ISCI 2008»
13 years 7 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
ISSAC
2005
Springer
70views Mathematics» more  ISSAC 2005»
14 years 1 months ago
Approximation of dynamical systems using s-systems theory: application to biological systems
In this article we propose a new symbolic-numeric algorithm to find positive equilibria of a n-dimensional dynamical system. This algorithm uses a symbolic manipulation of ODE in...
Laurent Tournier