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Gábor Takács
Gábor Takács
associate professor, Széchenyi István University, Győr, Hungary
Dirección de correo verificada de sze.hu - Página principal
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Scalable collaborative filtering approaches for large recommender systems
G Takács, I Pilászy, B Németh, D Tikk
The Journal of Machine Learning Research 10, 623-656, 2009
6932009
Major components of the gravity recommendation system
G Takács, I Pilászy, B Németh, D Tikk
Acm Sigkdd Explorations Newsletter 9 (2), 80-83, 2007
3012007
Feature-weighted linear stacking
J Sill, G Takács, L Mackey, D Lin
arXiv preprint arXiv:0911.0460, 2009
3002009
Alternating least squares for personalized ranking
G Takács, D Tikk
Proceedings of the sixth ACM conference on Recommender systems, 83-90, 2012
2432012
Matrix factorization and neighbor based algorithms for the netflix prize problem
G Takács, I Pilászy, B Németh, D Tikk
Proceedings of the 2008 ACM conference on Recommender systems, 267-274, 2008
2342008
Investigation of various matrix factorization methods for large recommender systems
G Takács, I Pilászy, B Németh, D Tikk
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and …, 2008
2252008
Recommender systems and methods using modified alternating least squares algorithm
I Pilászy, D Tikk, G Takács, AN Bottyán, D Zibriczky
US Patent 8,676,736, 2014
922014
Applications of the conjugate gradient method for implicit feedback collaborative filtering
G Takács, I Pilászy, D Tikk
Proceedings of the fifth ACM conference on Recommender systems, 297-300, 2011
682011
Neurális hálózatok
M Altrichter, G Horváth, B Pataki, G Strausz, G Takács, J Valyon
Panem, Budapest, 2006
252006
A unified approach of factor models and neighbor based methods for large recommender systems
G Takács, I Pilászy, B Nemeth, D Tikk
2008 First International Conference on the Applications of Digital …, 2008
242008
Predicting flight arrival times with a multistage model
G Takacs
2014 IEEE International Conference on Big Data (Big Data), 78-84, 2014
162014
Convex polyhedron learning and its applications
G Takács
PQDT-Global, 2009
142009
A dynamic programming approach for 4D flight route optimization
C Kiss-Toth, G Takacs
2014 IEEE International Conference on Big Data (Big Data), 24-28, 2014
92014
Lower bounds on the vapnik-chervonenkis dimension of convex polytope classifiers
G Takács, B Pataki
2007 11th International Conference on Intelligent Engineering Systems, 145-148, 2007
62007
The Vapnik-Chervonenkis dimension of convex n-gon classifiers
G Takács
Submitted to: Hungarian Electronic Journal of Sciences, 2007
52007
Deciding the convex separability of pattern sets
G Takacs, B Pataki
2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced …, 2007
32007
Fast detection of mammographic masses with difficult case exclusion
G Takacs, B Pataki
2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems …, 2005
32005
Mass Detection in Mammograms Combining Two Methods
N Tóth, G Takács, B Pataki
22008
Case-level detection of mammographic masses
G Takács, B Pataki
International Journal of Applied Electromagnetics and Mechanics 25 (1-4 …, 2007
12007
Predictor set optimization for collaborative filtering
O Horváth, G Takács
Proceedings of the 6th IEEE International Conference on Intelligent Data …, 2011
2011
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