Items where Author is "Kocsis, Levente"
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Number of items: 22.
2006
Date | Author/Title | Document Type | |
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2006 | Kocsis, Levente and Szepesvári, Csaba Bandit based Monte-Carlo planning | ISI Article | |
2006 | Kocsis, Levente and Szepesvári, Csaba and Winands, MHM RSPSA: enhanced parameter optimisation in games | ISI Article | |
2006 | Kocsis, Levente and Szepesvári, Csaba Universal parameter Optimisation in games based on SPSA | ISI Article |
2007
Date | Author/Title | Document Type | |
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2007 | György, András and Kocsis, Levente and Szabó, Ivett and Szepesvári, Csaba Continuous time associative bandit problems | Conference or Workshop Item |
2008
Date | Author/Title | Document Type | |
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2008 | Childs, Benjamin E. and Brodeur, James H. and Kocsis, Levente Transpositions and move groups in Monte Carlo tree search | Conference or Workshop Item |
2009
Date | Author/Title | Document Type | |
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2009 | Kocsis, Levente and György, András Efficient multi-start strategies for local search algorithms | Conference or Workshop Item |
2010
Date | Author/Title | Document Type | |
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2010 | Kocsis, Levente and György, András Fraud detection by generating positive samples for classification from unlabeled data | Conference or Workshop Item |
2011
Date | Author/Title | Document Type | |
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2011-07 | György, András and Kocsis, Levente Efficient Multi-Start Strategies for Local Search Algorithms | ISI Article | |
2011 | György, András and Kocsis, Levente Efficient multi-start strategies for local search algorithms | ISI Article |
2012
Date | Author/Title | Document Type | |
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2012-03 | Gelly, Sylvain and Kocsis, Levente and Schoenauer, Marc and Sebag, Michèle and Silver, David and Szepesvári, Csaba and Teytaud, Olivier The grand challenge of computer Go: Monte Carlo Tree Search and Extensions | ISI Article | |
2012 | Gelly, S and Kocsis, Levente and Schoenauer, M and Sebag, M and Silver, D and Szepesvári, C and Teytaud, O The grand challenge of computer go: Monte Carlo tree search and extensions | ISI Article |
2013
Date | Author/Title | Document Type | |
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2013 | Kocsis, Levente and György, A and Nándoriné Bán, Andrea BoostingTree: parallel selection of weak learners in boosting, with application to ranking | ISI Article |
2014
Date | Author/Title | Document Type | |
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2014 | Pálovics, Róbert and Benczúr, András and Kocsis, Levente and Kiss, Tamás and Frigó, Erzsébet Exploiting temporal influence in online recommendation | Book Section | |
2014 | Hegedűs, István and Jelasity, Márk and Kocsis, Levente and Benczúr, András Fully Distributed Robust Singular Value Decomposition | Book Section | |
2014 | Pálovics, Róbert and Ayala-Gómez, Frederic and Csikota, Balázs and Daróczy, Bálint Zoltán and Kocsis, Levente and Benczúr, András RecSys Challenge 2014: an ensemble of binary classifiers and matrix factorization | Book Section |
2015
Date | Author/Title | Document Type | |
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2015 | Pálovics, Róbert and Szalai, Péte and Kocsis, Levente and Szabó, Adrienn and Frigó, Erzsébet and Pap, Júlia and Benczúr, András Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization | Book Section |
2016
Date | Author/Title | Document Type | |
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2016 | Hegedűs, István and Berta, Árpád and Kocsis, Levente and Benczúr, András and Jelasity, Márk Robust Decentralized Low-Rank Matrix Decomposition | Article |
2017
Date | Author/Title | Document Type | |
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2017 | Frigó, Erzsébet and Pálovics, Róbert and Kelen, Domokos and Kocsis, Levente and Benczúr, András Alpenglow: Open source recommender framework with time-Aware learning and evaluation | Conference or Workshop Item | |
2017 | Pálovics, Róbert and Szalai, Péter and Pap, Júlia and Frigó, Erzsébet and Kocsis, Levente and Benczúr, András Location-aware online learning for top-k recommendation | Article | |
2017 | Frigó, Erzsébet and Pálovics, Róbert and Kelen, Domokos and Kocsis, Levente and Benczúr, András Online ranking prediction in non-stationary environments | Conference or Workshop Item |
2019
Date | Author/Title | Document Type | |
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2019 | Frigó, Erzsébet and Kocsis, Levente Online ranking combination | Book Section |
2022
Date | Author/Title | Document Type | |
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2022 | Frigó, Erzsébet and Kocsis, Levente Online convex combination of ranking models | Article |