In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
The speech parameter generation algorithm considering global variance (GV) for HMM-based speech synthesis proved to be effective against the over-smoothing problem. However, the c...
— High-rate space-time-frequency block codes (STFBC) are promising for achieving high bandwidth efficiency, low overhead and latency. Recently, a class of low-complexity STFBC m...
— An on-chip communication network is most power efficient when it operates just below the saturation point. For any given traffic load the network can be operated in this regi...
Despite numerous frameworks and models proposed in the literature, Information Systems (IS) assessment still remains elusive. Above all, there is little agreement on the contribut...