Pages that link to "Item:Q2389681"

The following pages link to The combination of multiple classifiers using an evidential reasoning approach (Q2389681):

Displaying 20 items.

• Evidential calibration of binary SVM classifiers (Q274433) (← links)
• Matrix games with payoffs of belief structures (Q668556) (← links)
• Decision aggregation in distributed classification by a transductive extension of maximum entropy/improved iterative scaling (Q966837) (← links)
• Combining classifiers with meta decision trees (Q1395728) (← links)
• Use of Dempster-Shafer theory to combine classifiers which use different class boundaries (Q1400850) (← links)
• Approximate classification with web ontologies through evidential terminological trees and forests (Q1687300) (← links)
• Reject strategies driven combination of pattern classifiers (Q1849256) (← links)
• Heterogeneous information fusion: combination of multiple supervised and unsupervised classification methods based on belief functions (Q2054083) (← links)
• Evidential joint calibration of binary SVM classifiers (Q2318267) (← links)
• Two-probabilities focused combination in recommender systems (Q2374526) (← links)
• Building ensemble classifiers using belief functions and OWA operators (Q2476651) (← links)
• Dynamic Bayesian Combination of Multiple Imperfect Classifiers (Q2822296) (← links)
• Measuring Impact of Diversity of Classifiers on the Accuracy of Evidential Ensemble Classifiers (Q3164000) (← links)
• HOW TO RANDOMLY GENERATE MASS FUNCTIONS (Q3449265) (← links)
• Transductive Methods for the Distributed Ensemble Classification Problem (Q3591522) (← links)
• (Q4411143) (← links)
• Modeling Decisions for Artificial Intelligence (Q5313146) (← links)
• Logistic Regression Revisited: Belief Function Analysis (Q6163702) (← links)
• Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework (Q6485363) (← links)
• Representations of uncertainty in AI: beyond probability and possibility (Q6602218) (← links)