发明名称 |
METHODS AND SYSTEMS OF USING BOOSTED DECISION STUMPS AND JOINT FEATURE SELECTION AND CULLING ALGORITHMS FOR THE EFFICIENT CLASSIFICATION OF MOBILE DEVICE BEHAVIORS |
摘要 |
Methods and systems for classifying mobile device behavior include configuring a server use a large corpus of mobile device behaviors to generate a full classifier model that includes a finite state machine suitable for conversion into boosted decision stumps and/or which describes all or many of the features relevant to determining whether a mobile device behavior is benign or contributing to the mobile device's degradation over time. A mobile device may receive the full classifier model and use the model to generate a full set of boosted decision stumps from which a more focused or lean classifier model is generated by culling the full set to a subset suitable for efficiently determining whether mobile device behavior are benign. Boosted decision stumps may be culled by selecting all boosted decision stumps that depend upon a limited set of test conditions. |
申请公布号 |
WO2014107439(A3) |
申请公布日期 |
2015.01.29 |
申请号 |
WO2013US78352 |
申请日期 |
2013.12.30 |
申请人 |
QUALCOMM INCORPORATED |
发明人 |
FAWAZ, KASSEM;SRIDHARA, VINAY;GUPTA, RAJARSHI |
分类号 |
G06N5/04 |
主分类号 |
G06N5/04 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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