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publications
M. Hutter Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Manno (Lugano), CH, (
2002)
to kolmogorov, theory, bayesian, juergen, leaning, loss, function, induction, information, complexity, probability, algorithmic, universal solomonoff, deterministic, prediction, by schaul and 1 other person on Feb 26, 2008, 11:58 AMM. Hutter Journal of Computer and System Sciences(
2006)
to information, self-optimizingness, prior, complexity, minimal, solomonoffs, algorithmic, juergen, theory prediction, monotone, convergence, sequence, description, length, kolmogorov, by schaul and 2 other people on Feb 26, 2008, 11:58 AMMarco Zaffalon and Marcus Hutter Annals of Mathematics and Artificial Intelligence(
2005)
to trees imprecise, intervals, models, dirichlet, mutual, probabilities, spanning, robust, juergen, model, dependence, graphical, inference, information, by schaul and 3 other people on Feb 26, 2008, 11:58 AMJ. Poland and M. Hutter IEEE Transactions on Information Theory51(11):3780--3795(
2005)
to minimum, classification, model, description, loss, prediction, regression, bounds, length, induction, theory, discrete, information, class, consistency, universal sequence, algorithmic, juergen, stabilization, by schaul and 3 other people on Feb 26, 2008, 11:58 AMM. Hutter Theoretical Computer Science(
2005)
to posterior, information, solomonoffs, mixture, distributions, probability, universal sequence, juergen, prior, prediction, theory, martin-loef, randomness, computability, concepts, convergence, algorithmic, by schaul and 2 other people on Feb 26, 2008, 11:58 AMM. Hutter and An Proc. 15th International Conf. on Algorithmic Learning Theory (ALT'04), volume3244ofLNAI, page234--248. Padova, Springer, Berlin, (
2004)
to mixture, algorithmic, prediction, randomness, martin-lof, posterior, semimeasure, information, enumerable, sequence, theory, convergence, universal quasimeasures, juergen, distributions, by schaul and 1 other person 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 induction, prediction, model, universal stabilization, convergence, theory, description, information, classes, juergen, minimum, length, sequence, discrete, algorithmic, by schaul and 3 other people on Feb 26, 2008, 11:58 AMM. Hutter Proc. 16th Annual Conf. on Learning Theory (COLT'03), volume2777ofLNAI, page506--521. Washington, DC, Springer, Berlin, (
2003)
to length, prediction, kolmogorov, self-optimizingness, solomonoffs, juergen, sequence, monotone, convergence, minimal, description, complexity, information, theory algorithmic, prior, by schaul and 5 other people on Feb 26, 2008, 11:58 AMMarcus Hutter and Marco Zaffalon Computational Statistics \& Data Analysis48(3):633--657(
2005)
to of, expectation, statistics, selection, bayesian, entropy, juergen, mutual, dirichlet, distribution, classifier, naive, filters, second, order, feature, bayes, and, variance cross, information, by schaul and 3 other people on Feb 26, 2008, 11:58 AMMarco Zaffalon and Marcus Hutter Proc. 18th International Conf. on Uncertainty in Artificial Intelligence (UAI-2002), page577--584. Morgan Kaufmann, San Francisco, CA, (
2002)
to second, feature, information, classifier, cross, expectation, juergen, naive, variance approach, entropy, mutual, order, selection, intervals, filter, distribution, robust, bayesian, credible, bayes, and, of, statistics, dirichlet, data, missing, by schaul and 3 other people on Feb 26, 2008, 11:58 AMM. Hutter Advances in Neural Information Processing Systems 14, page399--406. Cambridge, MA, MIT Press, (
2002)
to of, distribution, cross, expectation, information, order, entropy, variance juergen, dirichlet, second, mutual, and, by schaul and 1 other person on Feb 26, 2008, 11:58 AM