http://www.bibsonomy.org/publrss/user/schaul/algorithmic,BibSonomy RSS Feed for /user/schaul/algorithmic,idsiahttp://www.bibsonomy.org/bibtex/2bff001f45a7af9cbee7f353e1120baf0/schaulschaul2008-02-26T11:58:58+01:00algorithmic, deterministic, bayesian, prediction, induction, juergen, complexity, loss, theory, function, kolmogorov, solomonoff, leaning, information, probability, universal <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, </em><em>Manno (Lugano), CH, </em>(<em>2002</em>)idsiahttp://www.bibsonomy.org/bibtex/22034dfb8be6d240168a6f6e0ecde2faf/schaulschaul2008-02-26T11:58:58+01:00description, convergence, information, juergen, kolmogorov, minimal, prediction, monotone, algorithmic, self-optimizingness, length, solomonoffs, sequence, complexity, prior, theory <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Journal of Computer and System Sciences</em>(<em>2006</em>)idsiahttp://www.bibsonomy.org/bibtex/2eb2b0c4f73afa2e29cfd7a437db7faba/schaulschaul2008-02-26T11:58:58+01:00universal bounds, minimum, theory, model, class, length, loss, discrete, stabilization, regression, consistency, information, classification, induction, sequence, algorithmic, description, juergen, prediction, <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Poland">Poland</a> und M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>IEEE Transactions on Information Theory</em><em>51(11):3780--3795</em>(<em>2005</em>)idsiahttp://www.bibsonomy.org/bibtex/2f02ccc4a785f11b569dbd098e189c91e/schaulschaul2008-02-26T11:58:58+01:00theory, probability, convergence, information, algorithmic, solomonoffs, mixture, computability, universal randomness, prior, prediction, posterior, sequence, distributions, juergen, concepts, martin-loef, <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Theoretical Computer Science</em>(<em>2005</em>)idsiahttp://www.bibsonomy.org/bibtex/22205881d024c913a7d4ea58ec9b3d196/schaulschaul2008-02-26T11:58:58+01:00information, randomness, enumerable, quasimeasures, martin-lof, universal distributions, sequence, convergence, juergen, algorithmic, semimeasure, posterior, mixture, prediction, theory, <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> und <a href="http://www.bibsonomy.org/author/An">An</a> </span><em>Proc. 15th International Conf. on Algorithmic Learning Theory (ALT'04), </em><em>Volume3244vonLNAI, </em><em>Seite234--248. </em><em>Padova, </em><em>Springer, Berlin, </em>(<em>2004</em>)idsiahttp://www.bibsonomy.org/bibtex/29903cf7b0b98332f663bf1ba1d615806/schaulschaul2008-02-26T11:58:58+01:00convergence, model, minimum, discrete, theory, description, stabilization, information, juergen, universal prediction, length, sequence, algorithmic, classes, induction, <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Poland">Poland</a> und M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Proc. 17th Annual Conf. on Learning Theory (COLT'04), </em><em>Volume3120vonLNAI, </em><em>Seite300--314. </em><em>Banff, </em><em>Springer, Berlin, </em>(<em>2004</em>)idsiahttp://www.bibsonomy.org/bibtex/2144bbb46927ee62c450a1b8424027265/schaulschaul2008-02-26T11:58:58+01:00theory information, length, self-optimizingness, description, sequence, kolmogorov, complexity, minimal, convergence, juergen, prediction, algorithmic, solomonoffs, monotone, prior, <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Proc. 16th Annual Conf. on Learning Theory (COLT'03), </em><em>Volume2777vonLNAI, </em><em>Seite506--521. </em><em>Washington, DC, </em><em>Springer, Berlin, </em>(<em>2003</em>)idsiahttp://www.bibsonomy.org/bibtex/2b6b01f644bf44596771229883de4f8b4/schaulschaul2008-02-26T11:58:58+01:00artificial, algorithmic, induction, rational, complexity, computational, kolmogorov, decision, solomonoff, theory, sequential, universal intelligence, probability, reinforcement, juergen, agents, learning, <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Proc. 5th European Workshop on Reinforcement Learning (EWRL-5), </em><em>27, </em><em>Seite25--26. </em><em>Onderwijsinsituut CKI, Utrecht Univ., </em>(<em>2001</em>)