Ondřej Kuželka
Ondřej Kuželka
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Block-wise construction of tree-like relational features with monotone reducibility and redundancy
O Kuželka, F Železný
Machine Learning 83 (2), 163-192, 2011
322011
A restarted strategy for efficient subsumption testing
O Kuželka, F Železný
Fundamenta Informaticae 89 (1), 95-109, 2008
282008
Lifted relational neural networks
G Sourek, V Aschenbrenner, F Zelezny, O Kuzelka
arXiv preprint arXiv:1508.05128, 2015
242015
Hifi: Tractable propositionalization through hierarchical feature construction
O Kuzelka, F Zelezný
Inductive Logic Programming, 69, 2008
202008
Lifted relational neural networks
G Šourek, V Aschenbrenner, F Zelezný, O Kuzelka
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating …, 2015
192015
Lifted relational neural networks: Efficient learning of latent relational structures
G Sourek, V Aschenbrenner, F Zelezny, S Schockaert, O Kuzelka
Journal of Artificial Intelligence Research 62, 69-100, 2018
172018
Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search
A Szabóová, O Kuželka, F Železný, J Tolar
BMC bioinformatics 13 (S10), S3, 2012
172012
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties
O Kuželka, F Železný
Proceedings of the 26th annual international conference on machine learning …, 2009
152009
Gaussian logic for predictive classification
O Kuzelka, A Szabóová, M Holec, F Zelezný
Proceedings of the European Conference on Machine Learning and Principles …, 2011
132011
Relational marginal problems: Theory and estimation
O Kuželka, Y Wang, J Davis, S Schockaert
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
122018
Encoding Markov logic networks in possibilistic logic
O Kuzelka, J Davis, S Schockaert
arXiv preprint arXiv:1506.01432, 2015
102015
Learning predictive categories using lifted relational neural networks
G Šourek, S Manandhar, F Železný, S Schockaert, O Kuželka
International Conference on Inductive Logic Programming, 108-119, 2016
92016
Prediction of DNA-binding proteins from relational features
A Szabóová, O Kuželka, F Železný, J Tolar
Proteome science 10 (1), 66, 2012
92012
Bounded least general generalization
O Kuželka, A Szabóová, F Železný
International Conference on Inductive Logic Programming, 116-129, 2012
92012
Seeing the world through homomorphism: An experimental study on reducibility of examples
O Kuželka, F Železný
International Conference on Inductive Logic Programming, 138-145, 2010
72010
Fast estimation of first-order clause coverage through randomization and maximum likelihood
O Kuželka, F Železný
Proceedings of the 25th international conference on Machine learning, 504-511, 2008
72008
Stacked structure learning for lifted relational neural networks
G Šourek, M Svatoš, F Železný, S Schockaert, O Kuželka
International Conference on Inductive Logic Programming, 140-151, 2017
62017
Prediction of DNA-binding proteins from structural features
A Szabóová, O Kuzelka, F Zelezný, J Tolar
MLSB 2010: 4th International Workshop on Machine Learning in Systems Biology …, 2010
62010
Learning possibilistic logic theories from default rules
O Kuzelka, J Davis, S Schockaert
arXiv preprint arXiv:1604.05273, 2016
52016
Induction of interpretable possibilistic logic theories from relational data
O Kuzelka, J Davis, S Schockaert
arXiv preprint arXiv:1705.07095, 2017
42017
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Artiklar 1–20