| Document Date: 2014-12-01 07:16:49
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City Krakow / Eindhoven / Pittsburgh / / Company Multiagent Systems / Vertex / / Country Germany / Netherlands / Poland / United States / / / Facility AGH University of Science / / IndustryTerm fixed-parameter algorithms / diverse general tools / combinatorial algorithms / brute-force search / polynomial-time algorithm / dynamic programming algorithm / risk management / recommender systems / direct combinatorial fixed-parameter algorithms / approximation algorithms / classification tool / polynomial-time approximation algorithm / kernelization algorithm / multi-agent systems / decision makers / search engines / meta-search engine / few polynomialtime algorithms / good polynomialtime approximation algorithms / direct combinatorial fixed-parameter algorithm / brute-force algorithm / electronic commerce / / OperatingSystem XP / / Organization AGH University of Science and Technology / Institut f¨ / Department of Mathematics and Computer Science / / Position Vp / / ProvinceOrState Copeland / Pennsylvania / / PublishedMedium Machine Learning / Journal of Artificial Intelligence Research / Theoretical Computer Science / / Technology polynomial-time approximation algorithm / ILP algorithms / scoring protocol / ILP-based algorithms / ILP-based algorithm / search engine / Machine Learning / direct combinatorial fixed-parameter algorithms / few polynomialtime algorithms / Scoring protocols / fixed-parameter algorithms / brute-force algorithm / artificial intelligence / polynomial-time algorithm / approximation algorithms / dynamic programming algorithm / direct combinatorial fixed-parameter algorithm / kernelization algorithm / 3.3 FPT Approximation Algorithms / good FPT approximation algorithms / good polynomialtime approximation algorithms / FPT approximation algorithms / /
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Parameterized Algorithmics for Computational Social Choice: Nine Research Challenges Robert Bredereck1 , Jiehua Chen1 , Piotr Faliszewski2 , Jiong Guo3 , Rolf Niedermeier1 , and Gerhard J. Woeginger4 1