Wojciech Kotłowski
Wojciech Kotłowski
Zweryfikowany adres z cs.put.poznan.pl
Cytowane przez
Cytowane przez
Stochastic dominance-based rough set model for ordinal classification
W Kotłowski, K Dembczyński, S Greco, R Słowiński
Information Sciences 178 (21), 4019-4037, 2008
Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization
K Dembczynski, A Jachnik, W Kotlowski, W Waegeman, E Hüllermeier
International conference on machine learning, 1130-1138, 2013
Bipartite ranking through minimization of univariate loss
W Kotlowski, KJ Dembczynski, E Huellermeier
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
Predicting ads click-through rate with decision rules
K Dembczynski, W Kotlowski, D Weiss
Workshop on targeting and ranking in online advertising 2008, 2008
ENDER: a statistical framework for boosting decision rules
K Dembczyński, W Kotłowski, R Słowiński
Data Mining and Knowledge Discovery 21, 52-90, 2010
On nonparametric ordinal classification with monotonicity constraints
W Kotlowski, R Slowinski
IEEE Transactions on Knowledge and Data Engineering 25 (11), 2576-2589, 2012
Rule learning with monotonicity constraints
W Kotłowski, R Słowiński
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Online PCA with optimal regret
J Nie, W Kotłowski, MK Warmuth
The Journal of Machine Learning Research 17 (1), 6022-6070, 2016
Maximum likelihood rule ensembles
K Dembczyński, W Kotłowski, R Słowiński
Proceedings of the 25th international conference on Machine learning, 224-231, 2008
Consistent multilabel ranking through univariate losses
K Dembczynski, W Kotlowski, E Hüllermeier
arXiv preprint arXiv:1206.6401, 2012
Quantum learning: asymptotically optimal classification of qubit states
M Guţă, W Kotłowski
New Journal of Physics 12 (12), 123032, 2010
Follow the leader with dropout perturbations
T Van Erven, W Kotłowski, MK Warmuth
Conference on Learning Theory, 949-974, 2014
Ordinal classification with decision rules
K Dembczyński, W Kotłowski, R Słowiński
Mining Complex Data: ECML/PKDD 2007 Third International Workshop, MCD 2007 …, 2008
Statistical model for rough set approach to multicriteria classification
K Dembczyński, S Greco, W Kotłowski, R Słowiński
Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007
The many faces of exponential weights in online learning
D Hoeven, T Erven, W Kotłowski
Conference On Learning Theory, 2067-2092, 2018
Solving regression by learning an ensemble of decision rules
K Dembczyński, W Kotłowski, R Słowiński
Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008
Learning rule ensembles for ordinal classification with monotonicity constraints
K Dembczyński, R Słowiński
Fundamenta Informaticae 94 (2), 163-178, 2009
Adaptive scale-invariant online algorithms for learning linear models
M Kempka, W Kotlowski, MK Warmuth
International conference on machine learning, 3321-3330, 2019
Consistency analysis for binary classification revisited
K Dembczyński, W Kotłowski, O Koyejo, N Natarajan
International Conference on Machine Learning, 961-969, 2017
Surrogate regret bounds for generalized classification performance metrics
W Kotlowski, K Dembczyński
Asian Conference on Machine Learning, 301-316, 2016
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20