Feature selection for classification applications in neural network pruning
The feature selection problem, which is a traditional machine learning problem, share many similarities with neural network pruning problem. However, traditional feature selection techniques are less visited in neural network pruning. To bridge this gap, comprehensive literature reviews on both f...
Main Author: | Gong, Rui |
---|---|
Other Authors: | Mao Kezhi |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172919 |
Similar Items
-
Feature selection for demand forecasting incorporating external covariates
by: Mantri, Raghav
Published: (2021) -
Benchmarking novel graph neural networks
by: Bhagwat, Abhishek
Published: (2021) -
Using deep neural networks for chess position evaluation
by: Phang, Benito Yan Feng
Published: (2023) -
Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021) -
Efficient graph neural networks for travelling salesman problem using multilevel clustering
by: Dwivedee, Lakshyajeet
Published: (2021)