@article{Hutter:05expertx, title = {Adaptive Online Prediction by Following the Perturbed Leader}, author = {M. Hutter and J. Poland}, journal = {Journal of Machine Learning Research}, pages = {639--660}, publisher = {Microtome}, volume = 6, year = 2005, url = {http://arxiv.org/abs/cs.AI/0504078}, id = {2382167}, priority = {2}, description = {idsia}, biburl = {http://www.bibsonomy.org/bibtex/2a6f77b57f9dd6af428692b40ecc13a73/schaul}, keywords = {sequential, the, adaptive, alphabet, learning, and, expected, adversary, advice, with loss, general, expert, of, experts, juergen, bounds, leader, weights, high, probability, prediction, perturbed, online, rate, hierarchy, follow,} } @inproceedings{Hutter:04expert, title = {Prediction with Expert Advice by Following the Perturbed Leader for General Weights}, address = {Padova}, author = {M. Hutter and J. Poland}, booktitle = {Proc. 15th International Conf. on Algorithmic Learning Theory ({ALT'04})}, pages = {279--293}, publisher = {Springer, Berlin}, series = {LNAI}, volume = 3244, year = 2004, url = {http://arxiv.org/abs/cs.LG/0405043}, id = {2382172}, priority = {2}, description = {idsia}, biburl = {http://www.bibsonomy.org/bibtex/2b9394ee75dd5db37341b62745634de89/schaul}, keywords = {sequential, the, adaptive, alphabet, learning, and, expected, advice, with loss, general, expert, of, juergen, experts, bounds, leader, high, weights, probability, prediction, perturbed, online, rate, hierarchy, follow,} } @inproceedings{Legg:04fussexp, title = {Tournament versus Fitness Uniform Selection}, address = {Portland, OR}, author = {S. Legg and M. Hutter and A. Kumar}, booktitle = {Proc. 2004 Congress on Evolutionary Computation ({CEC'04})}, pages = {2144--2151}, publisher = {IEEE}, year = 2004, url = {http://arxiv.org/abs/cs.LG/0403038}, id = {2382175}, priority = {2}, description = {idsia}, biburl = {http://www.bibsonomy.org/bibtex/208a8dfde4e1c9fe9b6f6b1ebe570cece/schaul}, keywords = {problems, algorithm, of, juergen, optimization, principles, landscapes, multimodal, schemes, computations, evaluation, basic, fitness, deceptive, selection, working selfadaptation, evolutionary,} } @article{Hutter:04mifs, title = {Distribution of Mutual Information from Complete and Incomplete Data}, author = {Marcus Hutter and Marco Zaffalon}, journal = {Computational Statistics \& Data Analysis}, number = 3, pages = {633--657}, publisher = {Elsevier Science}, volume = 48, year = 2005, url = {http://www.hutter1.de/ai/mifs.htm}, id = {2382178}, priority = {2}, description = {idsia}, biburl = {http://www.bibsonomy.org/bibtex/23e33239f0046b223f066a4fbe60edcd6/schaul}, keywords = {cross, feature, bayesian, order, of, juergen, mutual, variance distribution, and, expectation, bayes, naive, dirichlet, second, statistics, information, selection, entropy, filters, classifier,} } @inproceedings{Zaffalon:02feature, title = {Robust Feature Selection by Mutual Information Distributions}, author = {Marco Zaffalon and Marcus Hutter}, booktitle = {Proc. 18th International Conf. on Uncertainty in Artificial Intelligence (UAI-2002)}, pages = {577--584}, publisher = {Morgan Kaufmann, San Francisco, CA}, year = 2002, url = {http://arxiv.org/abs/cs.AI/0206006}, id = {2382179}, priority = {2}, description = {idsia}, biburl = {http://www.bibsonomy.org/bibtex/2f65403f6346a5b6747be35f3f4f3ac2f/schaul}, keywords = {bayesian, order, mutual, distribution, missing, and, expectation, naive, robust, information, selection, entropy, feature, data, cross, of, juergen, variance credible, bayes, dirichlet, filter, second, intervals, statistics, approach, classifier,} } @inproceedings{Hutter:01xentropy, title = {Distribution of Mutual Information}, address = {Cambridge, MA}, author = {M. Hutter}, booktitle = {Advances in Neural Information Processing Systems 14}, pages = {399--406}, publisher = {MIT Press}, year = 2002, url = {http://arxiv.org/abs/cs.AI/0112019}, id = {2382180}, priority = {2}, description = {idsia}, biburl = {http://www.bibsonomy.org/bibtex/2196353ab4f02ae1e2973c01d08d38c45/schaul}, keywords = {cross, order, of, juergen, mutual, variance distribution, and, expectation, dirichlet, second, information, entropy,} }