Feature selection for classification applications in neural network pruning

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...

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Main Author: Gong, Rui
Other Authors: Mao Kezhi
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/172919
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1729192024-01-12T15:45:59Z Feature selection for classification applications in neural network pruning Gong, Rui Mao Kezhi School of Electrical and Electronic Engineering EKZMao@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence 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 fields are conducted in this dissertation. Then the neural network pruning problem is formulated as a feature selection problems, and feature selection methods are introduced to prune neural networks. Experiments results show that feature selection methods are useful for neural network pruning. Master of Science (Computer Control and Automation) 2024-01-07T12:11:13Z 2024-01-07T12:11:13Z 2023 Thesis-Master by Coursework Gong, R. (2023). Feature selection for classification applications in neural network pruning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172919 https://hdl.handle.net/10356/172919 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Gong, Rui
Feature selection for classification applications in neural network pruning
description 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 fields are conducted in this dissertation. Then the neural network pruning problem is formulated as a feature selection problems, and feature selection methods are introduced to prune neural networks. Experiments results show that feature selection methods are useful for neural network pruning.
author2 Mao Kezhi
author_facet Mao Kezhi
Gong, Rui
format Thesis-Master by Coursework
author Gong, Rui
author_sort Gong, Rui
title Feature selection for classification applications in neural network pruning
title_short Feature selection for classification applications in neural network pruning
title_full Feature selection for classification applications in neural network pruning
title_fullStr Feature selection for classification applications in neural network pruning
title_full_unstemmed Feature selection for classification applications in neural network pruning
title_sort feature selection for classification applications in neural network pruning
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/172919
_version_ 1789483181960855552

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