Name
Title | ||
|---|---|---|
A Feature Selection and Classification Algorithm Based on Randomized Extraction of Model Populations. |
Abstract | ||
|---|---|---|
We here introduce a novel classification approach adopted from the nonlinear model identification framework, which jointly addresses the feature selection (FS) and classifier design tasks. The classifier is constructed as a polynomial expansion of the original features and a selection process is applied to find the relevant model terms. The selection method progressively refines a probability dist... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2682418 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Feature extraction,Sociology,Data mining,Artificial neural networks,Probability distribution,Correlation | Population,Data mining,Dimensionality reduction,Feature selection,Computer science,Probability distribution,Artificial intelligence,Classifier (linguistics),Pattern recognition,Feature extraction,Distance correlation,Polynomial expansion,Machine learning | Journal |
Volume | Issue | ISSN |
48 | 4 | 2168-2267 |
Citations | PageRank | References |
6 | 0.47 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| aida brankovic | 1 | 7 | 1.85 |
| Alessandro Falsone | 2 | 49 | 11.44 |
| Maria Prandini | 3 | 162 | 15.70 |
| Luigi Piroddi | 4 | 311 | 25.04 |