@inproceedings{Poland:05mdlreg,
        title = {Strong Asymptotic Assertions for Discrete {MDL} in Regression and Classification},
        address = {Enschede},
        author = {J. Poland and M. Hutter},
        booktitle = {Annual Machine Learning Conference of Belgium and the Netherlands ({Benelearn-2005})},
        year = 2005,
        url = {http://arxiv.org/abs/math.ST/0502315},
        id = {2382166},
	priority = {2},
	biburl = {http://www.bibsonomy.org/bibtex/28319bdd4f41d45232efb7965421e9f9b/idsia},
	keywords = {regression, length, juergen, convergence, description, classification, learning, discrete, prediction, minimum, bayes, sequence marginalization, machine, mixture, classes, model,}
}

@inproceedings{Poland:04mdl2p,
        title = {Convergence of Discrete {MDL} for Sequential Prediction},
        address = {Banff},
        author = {J. Poland and M. Hutter},
        booktitle = {Proc. 17th Annual Conf. on Learning Theory ({COLT'04})},
        pages = {300--314},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 3120,
        year = 2004,
        url = {http://arxiv.org/abs/cs.LG/0404057},
        id = {2382174},
	priority = {2},
	biburl = {http://www.bibsonomy.org/bibtex/29903cf7b0b98332f663bf1ba1d615806/idsia},
	keywords = {length, juergen, convergence, description, discrete, prediction, minimum, sequence, stabilization, information, universal classes, algorithmic, model, theory, induction,}
}