2 papers
cs.NE2018
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction
Saman Sadeghyan, Shahrokh Asadi
Stabilizing the complexity of Feedforward Neural Networks (FNNs) for the given approximation task can be managed by defining an appropriate model magnitude which is also greatly co…
cs.LG2018
A new robust feature selection method using variance-based sensitivity analysis
Saman Sadeghyan
Excluding irrelevant features in a pattern recognition task plays an important role in maintaining a simpler machine learning model and optimizing the computational efficiency. Now…