Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Current source based cell models are becoming a necessity for accurate timing and noise analysis at 65nm and below. Voltage waveform shapes are increasingly more difficult to repr...
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
One use of simulation is to inform decision makers that seek to select the best of several alternative systems. The system with the highest (or lowest) mean value for simulation o...
This paper considers some rst principles that might provide a basis for an objective science of experience (presence or immersion). Dimensions that are considered include classica...