Wojciech Kot這wski
Wojciech Kot這wski
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Stochastic dominance-based rough set model for ordinal classification
W Kot這wski, K Dembczy雟ki, S Greco, R S這wi雟ki
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 Hllermeier
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 clickthrough 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 Dembczy雟ki, W Kot這wski, R S這wi雟ki
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 Kot這wski, R S這wi雟ki
Proceedings of the 26th Annual International Conference on Machine Learning…, 2009
Online PCA with optimal regret
J Nie, W Kot這wski, MK Warmuth
The Journal of Machine Learning Research 17 (1), 6022-6070, 2016
Maximum likelihood rule ensembles
K Dembczy雟ki, W Kot這wski, R S這wi雟ki
Proceedings of the 25th international conference on Machine learning, 224-231, 2008
Consistent multilabel ranking through univariate losses
K Dembczynski, W Kotlowski, E Hllermeier
arXiv preprint arXiv:1206.6401, 2012
Quantum learning: asymptotically optimal classification of qubit states
M Gu, W Kot這wski
New Journal of Physics 12 (12), 123032, 2010
Follow the leader with dropout perturbations
T Van Erven, W Kot這wski, MK Warmuth
Conference on Learning Theory, 949-974, 2014
Ordinal classification with decision rules
K Dembczy雟ki, W Kot這wski, R S這wi雟ki
Mining Complex Data: ECML/PKDD 2007 Third International Workshop, MCD 2007…, 2008
The many faces of exponential weights in online learning
D Hoeven, T Erven, W Kot這wski
Conference On Learning Theory, 2067-2092, 2018
Statistical model for rough set approach to multicriteria classification
K Dembczy雟ki, S Greco, W Kot這wski, R S這wi雟ki
Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on…, 2007
Solving regression by learning an ensemble of decision rules
K Dembczy雟ki, W Kot這wski, R S這wi雟ki
Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International…, 2008
Learning rule ensembles for ordinal classification with monotonicity constraints
K Dembczy雟ki, R S這wi雟ki
Fundamenta Informaticae 94 (2), 163-178, 2009
Consistency analysis for binary classification revisited
K Dembczy雟ki, W Kot這wski, O Koyejo, N Natarajan
International Conference on Machine Learning, 961-969, 2017
Adaptive scale-invariant online algorithms for learning linear models
M Kempka, W Kotlowski, MK Warmuth
International conference on machine learning, 3321-3330, 2019
Surrogate regret bounds for generalized classification performance metrics
W Kotlowski, K Dembczy雟ki
Asian Conference on Machine Learning, 301-316, 2016
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