Bayesian neural network generalised additive models

In recent years, neural networks (NNs) have gained wide and lasting traction as the machine learning architecture of choice in many contexts, due to its flexibility and ability to represent complex functions. However, in the context of a regression task, NNs face difficulties in interpretability and...

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Bibliographic Details
Main Author: Tay, Caleb Wei Hua
Other Authors: Xiang Liming
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172098
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Institution: Nanyang Technological University
Language: English
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