Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Abstract. In Model-Driven Engineering models and metamodels are not preserved from the evolutionary pressure which inevitably affects almost any artefacts. Moreover, the coupling b...
Antonio Cicchetti, Davide Di Ruscio, Alfonso Piera...
Emergent behaviors in simulations require explanation, so that valid behaviors can be separated from design or coding errors. Validation of emergent behavior requires accumulation...
—We present a blind turbo equalizer for QAM signals that exploits the statistics that a channel code imposes on the transmitted signal. The receiver is an adaptation of previous ...
Energy-efficient real-time task scheduling has been actively explored in the past decade. Different from the past work, this paper considers schedulability conditions for stochas...