Similar Items: Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses
- Comparative analysis of rainfall prediction using statistical neural network and classical linear regression model
- Contributions to the analysis of approximate counting
- Automated learning rates in machine learning for dynamic mini-batch sub-sampled losses
- A flow equation approach to semi-classical approximations : a comparison with the WKB method
- Training and optimization of product unit neural networks
- Comparison of Bayesian learning and conjugate gradient descent training of neural networks
Author: Wilke, Daniel Nicolas
- Simulation of Fibre Pull-out Using a Graphics Processing Unit Accelerated Discrete Element Model
- Optimising vehicle velocity profiles in real-time
- Development of a Three-Dimensional Mesh Generator With Analytical Mesh Sensitivities
- Optimal design of a guided wave rail web transducor using numerical modelling
- Blaze-DEM : a GPU based large scale 3D discrete element particle transport framework
- Modelling of resonant acoustic mixing of dry spherical particles