%0 Journal Article %1 Hutter:05expertx %A Hutter, M. %A Poland, J. %D 2005 %I Microtome %J Journal of Machine Learning Research %K adaptive, adversary, advice, alphabet, and, bounds, expected, expert, experts, follow, general, hierarchy, high, juergen, leader, learning, loss, of, online, perturbed, prediction, probability, rate, sequential, the, weights, with %P 639--660 %T Adaptive Online Prediction by Following the Perturbed Leader %U http://arxiv.org/abs/cs.AI/0504078 %V 6

@article{Hutter:05expertx, added-at = {2008-02-26T11:58:58.000+0100}, author = {Hutter, M. and Poland, J.}, biburl = {https://www.bibsonomy.org/bibtex/2a6f77b57f9dd6af428692b40ecc13a73/schaul}, citeulike-article-id = {2382167}, description = {idsia}, interhash = {9afbc44194bf5e36fa33e19a54b37e13}, intrahash = {a6f77b57f9dd6af428692b40ecc13a73}, journal = {Journal of Machine Learning Research}, keywords = {adaptive, adversary, advice, alphabet, and, bounds, expected, expert, experts, follow, general, hierarchy, high, juergen, leader, learning, loss, of, online, perturbed, prediction, probability, rate, sequential, the, weights, with}, pages = {639--660}, priority = {2}, publisher = {Microtome}, timestamp = {2008-02-26T11:59:05.000+0100}, title = {Adaptive Online Prediction by Following the Perturbed Leader}, url = {http://arxiv.org/abs/cs.AI/0504078}, volume = 6, year = 2005 }