| 摘要 |
A power saving method for a mobile device is disclosed. Multiple user samples are generated. One behavior vector for each of the user samples is calculated. A neural network system is trained using the user samples and the corresponding behavior vectors. Multiple user events are collected. The user events are transformed to multiple behavior samples using a weighting transformation function. The behavior samples are classified into behavior sample groups. The behavior sample group comprising the most behavior samples is obtained. The behavior vector for the behavior sample group comprising the most behavior samples is calculated. The neural network system is trained using the behavior sample group comprising the most behavior samples and the corresponding behavior vector. |
