Name
Title | ||
|---|---|---|
Modeling spectral data based on mutual information and kernel extreme learning machines |
Abstract | ||
|---|---|---|
Effective modeling based on the high dimensional data needs feature selection and fast learning speed. Aim at this problem, a novel modeling approach based on mutual information and extreme learning machines is proposed in this paper. Simple mutual information based feature selection method is integrated with the fast learning kernel based extreme learning machines to obtain better modeling performance. In the method, optimal number of the features and learning parameters of models are selected simultaneously. The simulation results based on the near-infrared spectrum show that the proposed approach has better prediction performance and fast leaning speed. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31346-2_4 | ISNN (1) |
Keywords | Field | DocType |
feature selection,better prediction performance,fast learning kernel,spectral data,mutual information,feature selection method,novel modeling approach,effective modeling,extreme learning machine,better modeling performance,kernel extreme | Data mining,Semi-supervised learning,Instance-based learning,Active learning (machine learning),Feature selection,Computer science,Artificial intelligence,Kernel (linear algebra),Clustering high-dimensional data,Pattern recognition,Mutual information,Machine learning,Feature learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lijie Zhao | 1 | 41 | 9.72 |
| Jian Tang | 2 | 526 | 148.30 |
| Tianyou Chai | 3 | 2014 | 175.55 |