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bookmarks

publications

(3)   

• Strong Asymptotic Assertions for Discrete MDL in Regression and Classification
  J. Poland and M. Hutter Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn-2005), Enschede, (2005)
  to discrete, machine, regression, minimum, description, convergence, marginalization, sequence classes, learning, mixture, classification, prediction, length, bayes, model, juergen, by schaul and 2 other people on Feb 26, 2008, 11:58 AM
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• On Generalized Computable Universal Priors and their Convergence
  M. Hutter Theoretical Computer Science(2005)
  to theory, sequence, posterior, algorithmic, juergen, universal probability, concepts, solomonoffs, information, prediction, convergence, randomness, mixture, martin-loef, computability, distributions, prior, by schaul and 2 other people on Feb 26, 2008, 11:58 AM
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• Universal Convergence of Semimeasures on Individual Random Sequences
  M. Hutter and An Proc. 15th International Conf. on Algorithmic Learning Theory (ALT'04), volume3244ofLNAI, page234--248. Padova, Springer, Berlin, (2004)
  to distributions, juergen, mixture, semimeasure, algorithmic, information, enumerable, theory, quasimeasures, posterior, convergence, prediction, universal martin-lof, randomness, sequence, by schaul and 1 other person on Feb 26, 2008, 11:58 AM
  URL | BibTeX