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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175107 |
| _version_ | 1811695994366066688 |
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| author | Chen, Peilin |
| author2 | Xiang Liming |
| author_facet | Xiang Liming Chen, Peilin |
| author_sort | Chen, Peilin |
| collection | NTU |
| 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 |
| first_indexed | 2024-10-01T07:32:18Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175107 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:32:18Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Computer and Information Science Interpretable machine learning Optimizing computer system Chen, Peilin Interpretable machine learning for optimizing computer system |
| title | 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_short | Interpretable machine learning for optimizing computer system |
| title_sort | interpretable machine learning for optimizing computer system |
| topic | Computer and Information Science Interpretable machine learning Optimizing computer system |
| url | https://hdl.handle.net/10356/175107 |
| work_keys_str_mv | AT chenpeilin interpretablemachinelearningforoptimizingcomputersystem |