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TSP
2008
102views more  TSP 2008»
15 years 6 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
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...
Vladimir Katkovnik, Vladimir Spokoiny
DAC
2008
ACM
16 years 7 months ago
Transistor level gate modeling for accurate and fast timing, noise, and power analysis
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...
S. Raja, F. Varadi, Murat R. Becer, Joao Geada
AAAI
1996
15 years 7 months ago
Sequential Inductive Learning
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...
Jonathan Gratch
WSC
2000
15 years 7 months ago
New results on procedures that select the best system using CRN
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...
Stephen E. Chick, Koichiro Inoue
PRESENCE
1998
74views more  PRESENCE 1998»
15 years 6 months ago
The Reality of Experience: Gibson's Way
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...
John M. Flach, John G. Holden