Name
Title | ||
|---|---|---|
Evaluation of Feature Ranking and Regression Methods for Oceanic Chlorophyll-a Estimation. |
Abstract | ||
|---|---|---|
This paper evaluates two alternative regression techniques for oceanic chlorophyll-a (Chl-a) content estimation. One of the investigated methodologies is the recently introduced Gaussian process regression (GPR) model. We explore two feature ranking methods derived for the GPR model, namely sensitivity analysis (SA) and automatic relevance determination (ARD). We also investigate a second regressi... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2018.2810704 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Ground penetrating radar,Biological system modeling,Estimation,Sea measurements,Remote sensing,Monitoring,Optical sensors | Kriging,Computer vision,Imaging spectrometer,Pattern recognition,Ground-penetrating radar,Ranking,Regression,Regression analysis,Partial least squares regression,Gaussian process,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 5 | 1939-1404 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katalin Blix | 1 | 10 | 2.67 |
| Torbjørn Eltoft | 2 | 583 | 48.56 |