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TSP
2010
15 years 1 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
SIMVIS
2003
15 years 8 months ago
An Experimental Study of the Behaviour of the Proxel-Based Simulation Algorithm
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
Sanja Lazarova-Molnar, Graham Horton
FASE
2005
Springer
16 years 9 days ago
Using Scenarios to Predict the Reliability of Concurrent Component-Based Software Systems
Scenarios are a popular means for capturing behavioural requirements of software systems early in the lifecycle. Scenarios show how components interact to provide system level func...
Genaína Nunes Rodrigues, David S. Rosenblum...
NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 6 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
184
Voted
PG
2007
IEEE
16 years 1 months ago
Illumination Brush: Interactive Design of All-Frequency Lighting
We present an appearance-based user interface for artists to efficiently design customized image-based lighting environments. 1 Our approach avoids typical iterations of paramete...
Makoto Okabe, Yasuyuki Matsushita, Li Shen, Takeo ...
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