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» On computational limitations of neural network architectures
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MIDDLEWARE
2004
Springer
14 years 2 months ago
Kernel-middleware interaction to support adaptation in pervasive computing environments
In pervasive computing environments, conditions are highly variable and resources are limited. In order to meet the needs of applications, systems must adapt dynamically to changi...
Farshad A. Samimi, Philip K. McKinley, Seyed Masou...
AINA
2006
IEEE
14 years 16 days ago
EC: an edge-based architecture against DDoS attacks and malware spread
The ability to limit unsolicited traffic in the Internet is important to defy DDoS attacks and to contain the spread of worms and viruses. The concept of capabilities, which requir...
Roger Karrer
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 8 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
IJCNN
2006
IEEE
14 years 2 months ago
A Mobile Vision System with Reconfigurable Intelligent Agents
— Performing face detection and tracking on a mobile robot in a dynamic environment is a challenging task with the real-time constraints. To realize a natural reactive behavior o...
Yan Meng
MOBISYS
2003
ACM
14 years 8 months ago
Full TCP/IP for 8-Bit Architectures
We describe two small and portable TCP/IP implementations fulfilling the subset of RFC1122 requirements needed for full host-to-host interoperability. Our TCP/IP implementations d...
Adam Dunkels