Junyao Zhao

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While central to the application of probabilistic models to discrete data, the problem of marginal inference is in general intractable and efficient approximation schemes need to exploit the problem structure. Recently, there have been efforts to develop inference techniques that do not necessarily make factorization assumptions about the distribution, but(More)
Currently, collaborative filtering (CF) is one of the most popular and successful recommendation technologies. However, the algorithm is easily affected by data sparsity, leading to poor recommendation accuracy. Recently, Deep Belief Nets (DBNs) have been successfully applied in many research areas including image classification and phone recognition. In(More)
Microwave-assisted potassium permanganate modification (MPPM) was used for the flotation separation of polycarbonate (PC) from polyvinyl chloride (PVC) and polymethylmethacrylate (PMMA) waste plastics. The separation process was optimized by investigating the potassium permanganate concentration, treatment time, flotation time and frother concentration.(More)
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