Online Learning for 4G/LTE Network Traffic Data Classification
碩士 === 國立交通大學 === 統計學研究所 === 105 === Based on online-learning algorithm, we can create a dynamic model, and we can transform a linear predictor into a non-linear one by using kernel functions. This study derives a new non-linear online-learning algorithm by combining the famous online learning algor...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/pvq68b |
| Summary: | 碩士 === 國立交通大學 === 統計學研究所 === 105 === Based on online-learning algorithm, we can create a dynamic model, and we can transform a linear predictor into a non-linear one by using kernel functions. This study derives a new non-linear online-learning algorithm by combining the famous online learning algorithm, Passive-Aggressive algorithm with kernels and conception of budget. The new algorithm creates a non-linear predictor, and manage the resources which the model used. Finally both the new algorithm and the original Passive-Aggressive algorithm are perform on the 4G LTE network traffic data.
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