Feature selection for classification applications in neural network pruning

• المؤلف الرئيسي: Gong, Rui
• مؤلفون آخرون: Mao Kezhi
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172919
• المؤسسة: Nanyang Technological University

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.