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publications
- to convergence, model, mdl, description, bernoulli, class, length, discrete, juergen, rate prediction, minimum, by schaul and 3 other people on Feb 26, 2008, 11:58 AM
J. Poland and M. Hutter IEEE Transactions on Information Theory51(11):3780--3795(
2005)
to induction, algorithmic, classification, description, theory, minimum, information, universal length, regression, prediction, juergen, model, discrete, loss, consistency, sequence, stabilization, class, bounds, by schaul and 3 other people on Feb 26, 2008, 11:58 AMJ. Poland and M. Hutter Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn-2005), Enschede, (
2005)
to machine, classes, prediction, juergen, length, bayes, model, minimum, marginalization, mixture, sequence learning, classification, description, convergence, regression, discrete, by schaul and 2 other people on Feb 26, 2008, 11:58 AMJ. Poland and M. Hutter Proc. 15th International Conf. on Algorithmic Learning Theory (ALT'04), volume3244ofLNAI, page294--308. Padova, Springer, Berlin, (
2004)
to rate juergen, mdl, length, model, description, bernoulli, prediction, discrete, class, minimum, convergence, by schaul and 3 other people on Feb 26, 2008, 11:58 AMJ. Poland and M. Hutter Proc. 17th Annual Conf. on Learning Theory (COLT'04), volume3120ofLNAI, page300--314. Banff, Springer, Berlin, (
2004)
to sequence, information, model, juergen, length, stabilization, minimum, universal discrete, theory, algorithmic, description, classes, prediction, convergence, induction, by schaul and 3 other people on Feb 26, 2008, 11:58 AM