Search Results for author:
Found 3 papers, 2 papers with code
Neural Networks as Functional Classifiers
In recent years, there has been considerable innovation in the world of predictive methodologies.
FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces
Neural networks have excelled at regression and classification problems when the input space consists of scalar variables.
Deep Learning with Functional Inputs
We present a methodology for integrating functional data into deep densely connected feed-forward neural networks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
