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A fusion scheme of phone duration models (PDMs) is presented in this work. Specifically, a support vector regression (SVR)-fusion model is fed with the predictions of a group of independent PDMs operating in parallel. The American-English KED TIMIT and the Greek WCL-1 databases are used for evaluating the PDMs and the fusion scheme. The fusion scheme contributes to the accuracy improvement over the...
A recent trend for data-intensive computations is to use pay-as-you-go execution environments that scale transparently to the user. However, providers of such environments must tackle the challenge of configuring their system to provide maximal performance while minimizing the cost of resources used. In this paper, we use statistical models to predict resource requirements for Cloud computing applications...
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