Local radial basis function network regressor with feature importance optimization


Recent big data analysis usually involves datasets with features collected from various sources, where each feature may have different importance, and the training datasets may not be uniformly sampled. To improve the prediction quality of realworld learning problems, we propose a local radial basis function network that is capable of handling both… (More)
DOI: 10.1109/IJCNN.2015.7280345


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