2 papers
cs.LG2023
A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis
Rui Ming, Haiping Xu, Shannon E. Gibbs +2
Deep learning approaches require collection of data on many different input features or variables for accurate model training and prediction. Since data collection on input feature…
stat.ME2019
Cost-sensitive Selection of Variables by Ensemble of Model Sequences
Donghui Yan, Zhiwei Qin, Songxiang Gu +2
Many applications require the collection of data on different variables or measurements over many system performance metrics. We term those broadly as measures or variables. Often…