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VRST
1998
ACM
15 years 1 months ago
Multi-resolution model transmission in distributed virtual environments
Distributed virtual environments allow users at di erent geographical locations to share and interact within a common virtual environment via a local network or through the Intern...
Jimmy H. P. Chim, Rynson W. H. Lau, Antonio Si, Ho...
COMPSAC
2006
IEEE
15 years 3 months ago
A Communication Virtual Machine
The convergence of data, voice and multimedia communication over digital networks, coupled with continuous improvement in network capacity and reliability has significantly enrich...
Yi Deng, Seyed Masoud Sadjadi, Peter J. Clarke, Ch...
ICPP
2000
IEEE
15 years 2 months ago
Match Virtual Machine: An Adaptive Runtime System to Execute MATLAB in Parallel
MATLAB is one of the most popular languages for desktop numerical computations as well as for signal and image processing applic ations. Applying parallel processing techniques to...
Malay Haldar, Anshuman Nayak, Abhay Kanhere, Pramo...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 9 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
77
Voted
SDL
2007
152views Hardware» more  SDL 2007»
14 years 11 months ago
TTCN-3 Quality Engineering: Using Learning Techniques to Evaluate Metric Sets
Software metrics are an essential means to assess software quality. For the assessment of software quality, typically sets of complementing metrics are used since individual metric...
Edith Werner, Jens Grabowski, Helmut Neukirchen, N...