most citedUltra High-Dimensional Nonlinear Feature Selection for Big Biological Data

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2016★ 9 cited

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data

Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez +10

Machine learning methods are used to discover complex nonlinear relationships in biological and medical data. However, sophisticated learning models are computationally unfeasible…