Publications and other documents
>2014
Zalán Bodó. Gépi tanulás gráfokkal. Tíz éves az ELTE Eötvös József Collegium Informatikai Mûhelye, Eötvös József Collegium, 2014, pp. 61-78.
Bodo2014a.txt
Zalán Bodó, Lehel Csató. Linear Spectral Hashing. Neurocomputing, Volume 141, 2 October 2014, pp. 117-123.
BodoCsato2014a.txt
Zalán Bodó, Lehel Csató. Augmented hashing for semi-supervised scenarios. In Proceedings of the 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2014, pp. 53-58.
BodoCsato2014b.txt
>2013
Bócsi, B. and Csató L. Hessian Corrected Input Noise Models. In Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp. 1-8, Springer, Sofia, Bulgaria,LNCS8131, 2013
BocsiCsato13a.txt
Bócsi, B.; Csató L. and Peters, J. Alignment-based Transfer Learning for Robot Models. In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN), pp. 1-73G, Dallas, USA, 2013.
BocsiCsato13b.txt
Zalán Bodó Lehel Csató Linear Spectral Hashing. In Proceedings of the 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2013, pp. 303-308.
BodoCsato13a.txt
Jakab, H. and Csató L. Novel feature selection and kernel-based value approximation method for reinforcement learning. In Proceedings of the International Conference on Artificial Neural Networks (ICANN),Sofia, Bulgaria, 2013, pp. 170-177
JakabCsato13a.txt
>2012
Bócsi, B.; Hennig, P.; Csató L. and Peters, J. Learning Tracking Control with Forward Models. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), St. Paul, USA, 2012.
Bocsietal12.txt
Zalán Bodó, Lehel Csató. Improving Kernel Locality-Sensitive Hashing Using Pre-Images and Bounds. IJCNN 2012.
BodoCsato12a.txt
H. Jakab and L. Csató. Manifold-based non-parametric learning of action-value functions. In European Symposium on Artificial Neural Networks (ESANN), 2012.
JakabCsato12a.txt
H. Jakab and L. Csató. Reinforcement learning with guided policy search using Gaussian processes. In International Joint Conference on Neural Networks (IJCNN), 2012.
JakabCsato12b.txt
>2011
Bócsi, B. A. and Csató L. Reinforcement Learning Algorithms in Robotics. Studia Informatica, Cluj-Napoca, 2011.
BocsiCsato11.txt
Bócsi, B.; Nguyen-Tuong, D.; Csató L.; Schoelkopf, B. and Peters, J. Learning Inverse Kinematics with Structured Prediction. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), pages 698-703, San Francisco, USA, 2011.
Bocsietal11.txt
Zalán Bodó, Zsolt Minier, Lehel Csató. Active Learning with Clustering. JMLR Workshop and Conference Proceedings: Volume 16, (Active Learning and Experimental Design workshop, May 16, 2010, Sardinia, Italy) 2011, pp. 127-139.
BodoMinierCsato11.txt
H. Jakab. Controlling the swinging atwood.s machine using reinforcement learning. Müszaki tudományos füzetek: XVI. FMTÜ international scientific conference, pages 141.145, 2011.
Jakab11a.txt
H. Jakab. Geodesic distance based kernel construction for gaussian process value function approximation. Studia Universitatis Babes-Bolyai Series Informatica, 61:51.57, 2011.
Jakab11b.txt
H. Jakab and L. Csató. Guided exploration in direct policy search with Gaussian processes. Acta Cybernetica, Under Review, 2011.
JakabCsato11.txt
H. Jakab and L. Csató. Improving gaussian process value function approximation in policy gradient algorithms. ICANN 2011, volume 6792, pp. 221-228, Springer, 2011.
JakabCsato11b.txt
>2010
Bócsi, B. A.; Jakab, H. and Csató L. Nonparametric methods in robotics. In Proceedings of the 8th Joint Conference on Mathematics and Computer Science (Abstract), Komarno, Slovakia, 2010.
BocsiJakabCsato2010.txt
Jakab, H.; Bócsi, B. A. and Csató L. Non-parametric Value Function Approximation in Robotics. In Proceedings of the 8th Joint Conference on Mathematics and Computer Science, Komarno, Slovakia, 2010.
JakabBocsiCsato2010.txt
H. Jakab and L. Csató. Using Gaussian processes for variance reduction in policy gradient algorithms. In ICAI2010: Proceedings of the 8th International Conference on Applied Informatics, 2010, Eger, Hungary.
JakabCsato10.txt
Zalán Bodó, Lehel Csató. HIERARCHICAL AND REWEIGHTING CLUSTER KERNELS FOR SEMI-SUPERVISED LEARNING. Int. J. of Computers, Communications & Control, Vol. V (2010), No. 4, pp. 469-476.
ijccc2010.pdf
>2009
Botond Attila Bócsi, Lehel Csató. Dirichlet process--based component detection in state-space models. To be published in ESANN 2009.
BocsiCsato_Esann2009.pdf
H. Jakab and L. Csató. Q-learning and policy gradient methods. In Studia Universitatis Babes Bolyai Informatica: KEPT 2009 Knowledge Engineering Principles and Techniques, pages 175-179, 2009.
JakabCsato09.txt
Zsolt Minier. Feature Selection in Text Categorization Using l1-Regularized SVMs. In Proceedings of the 2nd 'Knowledge Engineering: Principles and Techniques' Conference, Cluj-Napoca, Romania, 2009, pp. 61-64. Special Issue of Studia Universitatis Babes-Bolyai, Series Informatica.
Minier09.pdf
Zalán Bodó, Zsolt Minier. SEMI-SUPERVISED FEATURE SELECTION WITH SVMS. In Proceedings of the 2nd 'Knowledge Engineering: Principles and Techniques' Conference, Cluj-Napoca, Romania, 2009, pp. 159-162. Special Issue of Studia Universitatis Babeº-Bolyai, Series Informatica.
kept2009_bm.zip
Lehel Csató, Zalán Bodó. DECOMPOSITION METHODS FOR LABEL PROPAGATION. In Proceedings of the 2nd 'Knowledge Engineering: Principles and Techniques' Conference, Cluj-Napoca, Romania, 2009, pp. 127-130. Special Issue of Studia Universitatis Babeº-Bolyai, Series Informatica.
kept2009_csb.pdf
>2008
Botond Attila Bócsi, Lehel Csató. Visual Tracking with Filtering Algorithms. In Proceedings of the IEEE 4t International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2008, pp. 269-274.
BocsiCsato_iccp08.pdf
Csató Lehel, Bodó Zalán. NEURÁLIS HÁLÓK ÉS A GÉPI TANULÁS MÓDSZEREI. Presa Universitara Clujeana, 2008.
book2008.pdf
Zalán Bodó. HIERARCHICAL CLUSTER KERNELS FOR SUPERVISED AND SEMI-SUPERVISED LEARNING. In Proceedings of the IEEE 4nd International Conference on Intelligent Computer Communication and Processing, 2008, pp. 9-16.
iccp2008_bz.pdf
Zalán Bodó, Zsolt Minier. ON SUPERVISED AND SEMI-SUPERVISED K-NEAREST NEIGHBOR ALGORITHMS. Presented at the 7th Joint Conference on Mathematics and Computer Science, Cluj-Napoca, Romania, 2008; appeared in Studia Univ. Babes-Bolyai, Informatica, Volume LIII, Number 2, Cluj-Napoca, 2008, pp. 79-92.
macs2008.pdf
>2007
Zsolt Minier, Lehel Csató.
KERNEL PCA BASED CLUSTERING FOR INDUCING FEATURES IN TEXT CATEGORIZATION.
In Proceedings of the 15th European Symposium on Artificial Neural Networks, Bruges, Belgium, 2007, pp. 349-354
esann2007.pdf
Zalán Bodó, Zsolt Minier, Lehel Csató.
TEXT CATEGORIZATION EXPERIMENTS USING WIKIPEDIA.
In Proceedings of the 1st 'Knowledge Engineering: Principles and Techniques'
Conference, Cluj-Napoca, Romania, 2007, pp. 66-72.
kept2007.pdf
Zsolt Minier, Zalán Bodó, Lehel Csató. WIKIPEDIA-BASED KERNELS FOR TEXT CATEGORIZATION. 9th SYNASC, Timisoara, 2007, pp. 157-164.
synasc2007.pdf
>2006
Zsolt Minier, Zalán Bodó, Lehel Csató.
SEGMENTATION-BASED FEATURE SELECTION FOR TEXT CATEGORIZATION.
In Proceedings of the 2nd International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, 2006, pp. 53-59
iccp2006.pdf