Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data

IEEE Transactions on Knowledge and Data Engineering, pp. 1352-1365, 2018.

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Keywords:
Feature extractionKernelComputational modelingBiological system modelingData modelsMore(1+)

Abstract:

Machine learning methods are used to discover complex nonlinear relationships in biological and medical data. However, sophisticated learning models are computationally unfeasible for data with millions of features. Here, we introduce the first feature selection method for nonlinear learning problems that can scale up to large, ultra-high...More

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