Machine learning classification task optimization method and device for anomaly detection
A machine learning and anomaly detection technology, applied in the field of information processing, can solve problems such as the performance of machine learning classification tasks needs to be improved, the analysis ability is reduced, and the computing performance is reduced, so as to optimize machine learning classification tasks, perform optimal performance, and reduce computing performance. load effect
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[0029] In the following description, for purposes of explanation, numerous specific details are set forth. However, it is understood that practice of the present disclosure may be practiced without these specific details. In other instances, well-known circuits, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.
[0030] References throughout the specification to "one implementation," "an implementation," "example implementation," "some implementations," "various implementations," etc. mean that the described implementations of the present disclosure may include a particular feature, structure, or characteristic , however, does not mean that every implementation must contain these particular features, structures, or characteristics. Furthermore, some implementations may have some, all, or none of the features described for other implementations.
[0031] Various operations may be described as multiple discre...
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