| 摘要 |
A computing device processor may be configured with processor-executable instructions to implement methods that include using expectation-maximization (EM) machine learning techniques to continuously, repeatedly, or recursively generate, train, improve, focus, or refine the machine learning classifier models that are used by a behavior-based monitoring and analysis system (or behavior-based security system) of the computing device to better identify and respond to various conditions or behaviors that may have a negative impact on its performance, power utilization levels, network usage levels, security and/or privacy over time. |
