The following pages link to Eyke Hüllermeier (Q177550):
Displaying 50 items.
- On label dependence and loss minimization in multi-label classification (Q439031) (← links)
- Reliable classification: learning classifiers that distinguish aleatoric and epistemic uncertainty (Q497886) (← links)
- A formal and empirical analysis of the fuzzy gamma rank correlation coefficient (Q713420) (← links)
- Combining predictions in pairwise classification: an optimal adaptive voting strategy and its relation to weighted voting (Q733148) (← links)
- Possibilistic instance-based learning (Q814500) (← links)
- Learning valued preference structures for solving classification problems (Q835222) (← links)
- Case-based approximate reasonning. (Q859711) (← links)
- Risk assessment system of natural hazards: a new approach based on fuzzy probability (Q878977) (← links)
- Comparing probability measures using possibility theory: a notion of relative peakedness (Q997055) (← links)
- Multilabel classification via calibrated label ranking (Q1009289) (← links)
- Is an ordinal class structure useful in classifier learning? (Q1046569) (← links)
- On predictive accuracy and risk minimization in pairwise label ranking (Q1049275) (← links)
- Approximation of uncertain functional relationships (Q1299618) (← links)
- ML-plan: automated machine learning via hierarchical planning (Q1631803) (← links)
- On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis (Q1631807) (← links)
- Dyad ranking using Plackett-Luce models based on joint feature representations (Q1640577) (← links)
- Lexicographic preferences for predictive modeling of human decision making: a new machine learning method with an application in accounting (Q1698914) (← links)
- On the representation of fuzzy rules in terms of crisp rules (Q1810477) (← links)
- Preference-based reinforcement learning: a formal framework and a policy iteration algorithm (Q1945130) (← links)
- Learning monotone nonlinear models using the Choquet integral (Q1945134) (← links)
- Combining instance-based learning and logistic regression for multilabel classification (Q1959507) (← links)
- Rule-based multi-label classification: challenges and opportunities (Q1995445) (← links)
- Towards analogy-based explanations in machine learning (Q1997251) (← links)
- A critical analysis of variants of the AUC (Q2036264) (← links)
- Efficient set-valued prediction in multi-class classification (Q2036773) (← links)
- Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods (Q2051254) (← links)
- Learning context-dependent choice functions (Q2069057) (← links)
- On testing transitivity in online preference learning (Q2071345) (← links)
- How to measure uncertainty in uncertainty sampling for active learning (Q2127220) (← links)
- A flexible class of dependence-aware multi-label loss functions (Q2127260) (← links)
- Multi-target prediction: a unifying view on problems and methods (Q2218329) (← links)
- Instance weighting through data imprecisiation (Q2237178) (← links)
- Rough set-based feature selection for weakly labeled data (Q2237512) (← links)
- TSK-Streams: learning TSK fuzzy systems for regression on data streams (Q2238336) (← links)
- Generalized transitivity: a systematic comparison of concepts with an application to preferences in the Babington Smith model (Q2300468) (← links)
- Label ranking by learning pairwise preferences (Q2389690) (← links)
- Survival analysis on data streams: analyzing temporal events in dynamically changing environments (Q2509460) (← links)
- Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization (Q2509600) (← links)
- Rejoinder on ``Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization'' (Q2509613) (← links)
- Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm (Q2514758) (← links)
- (Q2712275) (← links)
- A Survey of Preference-Based Online Learning with Bandit Algorithms (Q2938721) (← links)
- Preference Learning: An Introduction (Q3061110) (← links)
- Preference Learning and Ranking by Pairwise Comparison (Q3061113) (← links)
- (Q3062003) (← links)
- An Approach to Modelling and Simulation of Uncertain Dynamical Systems (Q3114482) (← links)
- On the VC-Dimension of the Choquet Integral (Q3143093) (← links)
- Flexible constraints for regularization in learning from data (Q3156899) (← links)
- FUZZY OPERATOR TREES FOR MODELING RATING FUNCTIONS (Q3401067) (← links)
- NUMERICAL METHODS FOR FUZZY INITIAL VALUE PROBLEMS (Q3427849) (← links)
