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Variational bayesian multiple instance learning with gaussian processes
(IEEE, 2017)
Gaussian Processes (GPs) are effective Bayesian predictors. We here show for the first time that instance labels of a GP classifier can be inferred in the multiple instance learning (MIL) setting using variational Bayes. ...
Prediction of active UE number with Bayesian neural networks for self-organizing LTE networks
(IEEE, 2017-01-01)
Internet-empowered electronic gadgets and content rich multimedia applications have expanded exponentially in recent years. As a consequence, heterogeneous network structures introduced with Long Term Evolution (LTE) ...
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