FsNet: Feature Selection Network on High-dimensional Biological Data

2 code implementations • 23 Jan 2020 • Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada

Because a large number of parameters in the selection and reconstruction layers can easily result in overfitting under a limited number of samples, we use two tiny networks to predict the large, virtual weight matrices of the selection and reconstruction layers.

BIG-bench Machine Learning feature selection +1