The following pages link to Johannes Fürnkranz (Q408679):
Displaying 34 items.
- Efficient prediction algorithms for binary decomposition techniques (Q408680) (← links)
- Efficient implementation of class-based decomposition schemes for naïve Bayes (Q479479) (← links)
- On cognitive preferences and the plausibility of rule-based models (Q782445) (← links)
- Multilabel classification via calibrated label ranking (Q1009289) (← links)
- On predictive accuracy and risk minimization in pairwise label ranking (Q1049275) (← links)
- Separate-and-conquer rule learning (Q1286424) (← links)
- ROC `n' rule learning -- towards a better understanding of covering algorithms (Q1777415) (← links)
- Preference-based reinforcement learning: a formal framework and a policy iteration algorithm (Q1945130) (← links)
- On the quest for optimal rule learning heuristics (Q1959556) (← links)
- Rule-based multi-label classification: challenges and opportunities (Q1995445) (← links)
- A flexible class of dependence-aware multi-label loss functions (Q2127260) (← links)
- Comparing boosting and bagging for decision trees of rankings (Q2129304) (← links)
- A review of possible effects of cognitive biases on interpretation of rule-based machine learning models (Q2238643) (← links)
- Label ranking by learning pairwise preferences (Q2389690) (← links)
- Preference Learning: An Introduction (Q3061110) (← links)
- Preference Learning and Ranking by Pairwise Comparison (Q3061113) (← links)
- Foundations of Rule Learning (Q3166345) (← links)
- An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules (Q3184659) (← links)
- (Q4246883) (← links)
- (Q4397011) (← links)
- 10.1162/153244302320884605 (Q4409352) (← links)
- (Q4420755) (← links)
- (Q4444473) (← links)
- (Q4637066) (← links)
- (Q4709188) (← links)
- (Q4802570) (← links)
- Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants (Q5190957) (← links)
- Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms (Q5305691) (← links)
- Machine Learning: ECML 2004 (Q5450733) (← links)
- Machine Learning: ECML 2003 (Q5897342) (← links)
- Advances in Intelligent Data Analysis VI (Q5897597) (← links)
- Efficient learning of large sets of locally optimal classification rules (Q6097160) (← links)
- Learning decision catalogues for situated decision making: the case of scoring systems (Q6577678) (← links)
- On the efficient implementation of classification rule learning (Q6661121) (← links)
