The following pages link to T. Denœux (Q65158):
Displaying 32 items.
- Constructing Rule-Based Models Using the Belief Functions Framework (Q3143434) (← links)
- INNER AND OUTER APPROXIMATION OF BELIEF STRUCTURES USING A HIERARCHICAL CLUSTERING APPROACH (Q3427942) (← links)
- Evidential Editing K-Nearest Neighbor Classifier (Q3451206) (← links)
- Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities (Q3524942) (← links)
- On Latent Belief Structures (Q3524944) (← links)
- Belief Function Correction Mechanisms (Q3557688) (← links)
- Dempster-Shafer Reasoning in Large Partially Ordered Sets: Applications in Machine Learning (Q3589884) (← links)
- (Q3614534) (← links)
- Belief Functions and Cluster Ensembles (Q3638158) (← links)
- (Q4329220) (← links)
- (Q4330359) (← links)
- Un algorithme de classification automatique non paramétrique (Q4339792) (← links)
- Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis (Q4558835) (← links)
- The Classifier Chain Generalized Maximum Entropy Model for Multi-label Choice Problems (Q4558836) (← links)
- Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions (Q4617933) (← links)
- (Q4787413) (← links)
- Joint Feature Transformation and Selection Based on Dempster-Shafer Theory (Q5115736) (← links)
- (Q5121458) (← links)
- Symbolic and Quantitative Approaches to Reasoning with Uncertainty (Q5473739) (← links)
- In memoriam: Philippe Smets (1938--2005) (Q5920556) (← links)
- Handling possibilistic labels in pattern classification using evidential reasoning. (Q5951730) (← links)
- In memoriam: Philippe Smets (1938--2005) (Q5971270) (← links)
- A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering (Q6066842) (← links)
- Belief functions induced by random fuzzy sets: a general framework for representing uncertain and fuzzy evidence (Q6081358) (← links)
- Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models (Q6083111) (← links)
- NN-EVCLUS: neural network-based evidential clustering (Q6092096) (← links)
- A general framework for evaluating and comparing soft clusterings (Q6492587) (← links)
- Uncertainty quantification in logistic regression using random fuzzy sets and belief functions (Q6548469) (← links)
- Synergies between machine learning and reasoning -- an introduction by the Kay R. Amel group (Q6577680) (← links)
- Combination of dependent and partially reliable Gaussian random fuzzy numbers (Q6588382) (← links)
- Representations of uncertainty in artificial intelligence: probability and possibility (Q6602217) (← links)
- Representations of uncertainty in AI: beyond probability and possibility (Q6602218) (← links)
