Name
Abstract | ||
|---|---|---|
In the framework of the evidence theory, several approaches for estimating belief functions are proposed. However, they generally suffer from the problem of masses attribution in the case of compound hypotheses that lose much conceptual contribution of the theory. In this paper, an original method for estimating mass functions using Kohonen's map derived from the initial feature space and an initi... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNNLS.2015.2480772 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Neurons,Estimation,Training,Indexes,Clustering algorithms,Quantization (signal),Learning systems | Data mining,Feature vector,Ignorance,Multivariate statistics,Computer science,Basic belief,Self-organizing map,Artificial intelligence,Contextual image classification,Cluster analysis,Classifier (linguistics),Machine learning | Journal |
Volume | Issue | ISSN |
27 | 10 | 2162-237X |
Citations | PageRank | References |
3 | 0.42 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imen Hammami | 1 | 9 | 2.39 |
| Grégoire Mercier | 2 | 605 | 52.49 |
| Atef Hamouda | 3 | 40 | 12.57 |
| Jean Dezert | 4 | 777 | 61.59 |