of the method based on the deep neural network under small samples and multiple working conditions, a novel bearing fault identification method combined with the coordinate delay phase space reconstruction method (CDPSR), residual network, meta-SGD algorithm, and the AdaBoost technology was proposed....
aadd gold trim to hem of robe 增加金修剪到长袍吊边 [translate] aThe mainstream of current link prediction algorithm based on network topology structure generally have the problem of low efficiency of recalls. Study found that the correct results from some of the link prediction algorithms are ...
Before TL, the signed rank and Chi-square test-based similarity estimation frame is adopted to select source datasets, aiming to reduce the possibility of negative transfer. Then, the hybrid transfer model, including the fast TrAdaBoost and partial model-based transfer (PMT) algorithm, is ...
method and uses these coordinates to construct a training set, then learns and updates the parameters of classifier networks using the meta-SGD algorithm with the train set, iteratively trains multiple classifiers, and finally integrates those classifiers to form a strong classifier by AdaBoost ...
The application of this algorithm varies from face detection to other object recognition applications. During the Haar-cascade algorithm process, the AdaBoost learning algorithm was also applied to boost the performance of the training process. AdaBoost required a large number of examples that had a...