Print preview VALIDITY EXPIRED personal data approved: 2015. IX. 14. Publications |
2014
from data base, 2015. IX. 14. |
Hegedűs I, Jelasity M, Kocsis L, Benczúr A: Fully Distributed Robust Singular Value Decomposition, In: Szerk.: [S n ] 14th IEEE International Conference on Peer-to-Peer Computing, IEEE P2P. Los Alamitos: IEEE Press, 2014. Paper 5. 9 p. type of document: Part of book/Proceedings Paper language: English URL |
2014
from data base, 2015. IX. 14. |
Pálovics R, Benczúr A A, Kocsis L, Kiss T, Frigó E: Exploiting temporal influence in online recommendation, In: Szerk.: [S n ] Proceedings of the 8th ACM Conference on Recommender systems - RECSYS 2014. New York: ACM Press, 2014. pp. 273-280. type of document: Part of book/Proceedings Paper language: English URL |
2013
from data base, 2015. IX. 14. |
Kocsis L, György A, N. Bán A: BoostingTree: parallel selection of weak learners in boosting, with application to ranking, MACHINE LEARNING 93: (2-3) pp. 293-320. type of document: Journal paper/Article language: English URL |
2012
from data base, 2015. IX. 14. |
Gelly S, Kocsis L, Schoenauer M, Sebag M, Silver D, Szepesvári C, Teytaud O: The grand challenge of computer go: Monte Carlo tree search and extensions, COMMUNICATIONS OF THE ACM 55: (3) pp. 106-113. type of document: Journal paper/Article number of independent citations: 19 language: English DOI |
2011
from data base, 2015. IX. 14. |
György A, Kocsis L: Efficient multi-start strategies for local search algorithms, JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 41: pp. 407-444. type of document: Journal paper/Article number of independent citations: 3 language: English
|
2010
from data base, 2015. IX. 14. |
Kocsis L, György A: Fraud detection by generating positive samples for classification from unlabeled data, In: Proceedings of ICML Workshop on Machine Learning and Games.Haifa, Izrael, 2010.06.25 pp. 1-6. Kiadvány: 2010. type of document: Conference paper/Előadás vagy poszter cikke number of independent citations: 1 language: English Full text |
2009
from data base, 2015. IX. 14. |
Kocsis L, György A: Efficient multi-start strategies for local search algorithms., LECTURE NOTES IN COMPUTER SCIENCE 5781: pp. 705-720. type of document: Journal paper/Article number of independent citations: 1 language: English
|
2007
from data base, 2015. IX. 14. |
György A, Kocsis L, Szabó I, Szepesvári C: Continuous time associative bandit problems., In: ICJAI 2007. 20th international joint conference on artificial intelligence.Hyderabad, India, 2007 Hyderabad: IJCAI, pp. 830-835. Kiadvány: Hyderabad: IJCAI, 2007. type of document: Conference paper/Előadás vagy poszter cikke number of independent citations: 2 language: English
|
2006
from data base, 2015. IX. 14. |
Kocsis L, Szepesvári C: Universal parameter Optimisation in games based on SPSA, MACHINE LEARNING 63: (3) pp. 249-286. type of document: Journal paper/Article number of independent citations: 8 language: English
|
2006
from data base, 2015. IX. 14. |
Kocsis L, Szepesvári C: Bandit based Monte-Carlo planning, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4212: pp. 282-293. type of document: Journal paper/Article number of independent citations: 444 language: English
|
| Number of independent citations to these publications: | 478 |
|
|