Patent ID: 9412077
Filing Date: 2016-08-09
CPC Classification: G06N

Claim Text:
1. A method for classification, comprising: associating network data to be predicted with a predetermined number M of respective target classifiers, the predetermined number M being an integer that is greater than one; obtaining a predicted result from each of the target classifiers; obtaining a classification result of the network data based upon the predicted result and a prediction weight of each of the target classifiers; determining a predetermined number N of candidate classifiers to be updated, the predetermined number N being an integer greater than or equal to the predetermined number M; obtaining a third weight value for each of the candidate classifiers based upon a classification accuracy of each of the candidate classifiers; obtaining a fourth weight value for each of the candidate classifiers based upon a second assigned time and construction time of each of the candidate classifiers; and removing a predetermined number P of the candidate classifiers from the predetermined number N of the candidate classifiers to obtain the predetermined number M of the target classifiers, the predetermined number P being an integer that is greater than or equal to one and that is smaller than or equal to N−2,