http://www.bibsonomy.org/burst/user/schaul/algorithm,BibSonomy BuRST Feed for /user/schaul/algorithm,2008-07-26T04:33:22+02:00idsiahttp://www.bibsonomy.org/bibtex/223bbad699e144c584ba1ef426db00524/schaulschaul2008-02-26T11:58:58+01:00algorithm, schemes, selfadaptation optimization, juergen, evaluation, evolutionary, deletion, landscapes, fitness, <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Legg">Legg</a> and M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Proc. Genetic and Evolutionary Computation Conference (GECCO'05), </em><em>page1271--1278. </em><em>Washington, OR, </em><em>ACM SigEvo, </em>(<em>2005</em>)Tue Feb 26 11:58:58 CET 2008Washington, ORProc. Genetic and Evolutionary Computation Conference ({GECCO'05})1271--1278Fitness Uniform Deletion for Robust Optimization2005algorithm, schemes, selfadaptation optimization, juergen, evaluation, evolutionary, deletion, landscapes, fitness, idsiahttp://www.bibsonomy.org/bibtex/2faf5563250898f0a4cd12dd900a08913/schaulschaul2008-02-26T11:58:58+01:00tree bayesian, exact, inference, adaptive, juergen, density, non-parametric, polya, time, estimation, algorithm, infinite, scale, invariance, linear, <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> </span><em>Proc. 10th International Conf. on Artificial Intelligence and Statistics (AISTATS-2005), </em><em>page144--151. </em><em>Society for Artificial Intelligence and Statistics, </em>(<em>2005</em>)Tue Feb 26 11:58:58 CET 2008Proc. 10th International Conf. on Artificial Intelligence and Statistics ({AISTATS-2005})144--151Fast Non-Parametric {B}ayesian Inference on Infinite Trees2005tree bayesian, exact, inference, adaptive, juergen, density, non-parametric, polya, time, estimation, algorithm, infinite, scale, invariance, linear, idsiahttp://www.bibsonomy.org/bibtex/208a8dfde4e1c9fe9b6f6b1ebe570cece/schaulschaul2008-02-26T11:58:58+01:00multimodal, optimization, principles, selfadaptation, juergen, basic, selection, computations, schemes, of, algorithm, evolutionary, fitness, deceptive, evaluation, working landscapes, problems, <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Legg">Legg</a> and M. <a href="http://www.bibsonomy.org/author/Hutter">Hutter</a> and A. <a href="http://www.bibsonomy.org/author/Kumar">Kumar</a> </span><em>Proc. 2004 Congress on Evolutionary Computation (CEC'04), </em><em>page2144--2151. </em><em>Portland, OR, </em><em>IEEE, </em>(<em>2004</em>)Tue Feb 26 11:58:58 CET 2008Portland, ORProc. 2004 Congress on Evolutionary Computation ({CEC'04})2144--2151Tournament versus Fitness Uniform Selection2004multimodal, optimization, principles, selfadaptation, juergen, basic, selection, computations, schemes, of, algorithm, evolutionary, fitness, deceptive, evaluation, working landscapes, problems,