Consid{é}rant la d{é}pendance dans la th{é}orie des fonctions de croyance
January 20, 2015 · Declared Dead · 🏛 Fouille de données complexes
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Mouna Chebbah, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane
arXiv ID
1501.04786
Category
cs.AI: Artificial Intelligence
Citations
1
Venue
Fouille de données complexes
Last Checked
4 months ago
Abstract
In this paper, we propose to learn sources independence in order to choose the appropriate type of combination rules when aggregating their beliefs. Some combination rules are used with the assumption of their sources independence whereas others combine beliefs of dependent sources. Therefore, the choice of the combination rule depends on the independence of sources involved in the combination. In this paper, we propose also a measure of independence, positive and negative dependence to integrate in mass functions before the combinaision with the independence assumption.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
📜 Similar Papers
In the same crypt — Artificial Intelligence
📚
📚
The Cartographer
R.I.P.
👻
Ghosted
Explanation in Artificial Intelligence: Insights from the Social Sciences
R.I.P.
👻
Ghosted
Federated Machine Learning: Concept and Applications
R.I.P.
👻
Ghosted
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
R.I.P.
👻
Ghosted
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
R.I.P.
👻
Ghosted
Rainbow: Combining Improvements in Deep Reinforcement Learning
Died the same way — 👻 Ghosted
R.I.P.
👻
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
👻
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
👻
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
👻
Ghosted