Interpretable machine learning for optimizing computer system

Interpretable machine learning for optimizing computer system

Exploration of PRIMO - A Unified Framework of Interpretable Models on Learning Augmented Systems. In this report, in addition to the findings presented in PRIMO's original paper, more experimental details on case studies of Clara and Pensieve are elaborated. Moreover, further hyperparameter tun...

Full description

Saved in:
Bibliographic Details
Main Author: Chen, Peilin
Other Authors: Xiang Liming
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Interpretable machine learning
Optimizing computer system
Online Access:https://hdl.handle.net/10356/175107
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-175107
record_format dspace
spelling sg-ntu-dr.10356-1751072024-04-26T15:40:23Z Interpretable machine learning for optimizing computer system Chen, Peilin Xiang Liming Zhang Tianwei School of Computer Science and Engineering tianwei.zhang@ntu.edu.sg, LMXiang@ntu.edu.sg Computer and Information Science Interpretable machine learning Optimizing computer system Exploration of PRIMO - A Unified Framework of Interpretable Models on Learning Augmented Systems. In this report, in addition to the findings presented in PRIMO's original paper, more experimental details on case studies of Clara and Pensieve are elaborated. Moreover, further hyperparameter tuning and generalisation ability testing are undertaken to examine and enhance the performance of the model in each case study Bachelor's degree 2024-04-22T00:16:32Z 2024-04-22T00:16:32Z 2024 Final Year Project (FYP) Chen, P. (2024). Interpretable machine learning for optimizing computer system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175107 https://hdl.handle.net/10356/175107 en SCSE23-0066 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 Computer and Information Science
Interpretable machine learning
Optimizing computer system
spellingShingle Computer and Information Science
Interpretable machine learning
Optimizing computer system
Chen, Peilin
Interpretable machine learning for optimizing computer system
description Exploration of PRIMO - A Unified Framework of Interpretable Models on Learning Augmented Systems. In this report, in addition to the findings presented in PRIMO's original paper, more experimental details on case studies of Clara and Pensieve are elaborated. Moreover, further hyperparameter tuning and generalisation ability testing are undertaken to examine and enhance the performance of the model in each case study
author2 Xiang Liming
author_facet Xiang Liming
Chen, Peilin
format Final Year Project
author Chen, Peilin
author_sort Chen, Peilin
title Interpretable machine learning for optimizing computer system
title_short Interpretable machine learning for optimizing computer system
title_full Interpretable machine learning for optimizing computer system
title_fullStr Interpretable machine learning for optimizing computer system
title_full_unstemmed Interpretable machine learning for optimizing computer system
title_sort interpretable machine learning for optimizing computer system
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175107
_version_ 1814047019117838336

Similar Items