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The fusion approaches with multi-model ensemble can present a better performance than the simple approaches with single model in Prognostics and Health Management (PHM). Bayesian Model Averaging (BMA) is a very useful ensemble method in these fusion approaches because of its ability of uncertainty quantification. A fusion model based on BMA and relevance vector machine (RVM) is presented in this paper...
Traditional online learning algorithms are designed for vector data only, which assume that the labels of all the training examples are provided. In this paper, we study graph classification where only limited nodes are chosen for labelling by selective sampling. Particularly, we first adapt a spectral-based graph regularization technique to derive a novel online learning linear algorithm which can...
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