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» New models and algorithms for programmable networks
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NIPS
1998
15 years 3 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
ICANN
2005
Springer
15 years 7 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
CCECE
2006
IEEE
15 years 8 months ago
QOS Driven Network-on-Chip Design for Real Time Systems
Real Time embedded system designers are facing extreme challenges in underlying architectural design selection. It involves the selection of a programmable, concurrent, heterogene...
Ankur Agarwal, Mehmet Mustafa, Abhijit S. Pandya
MASCOTS
2008
15 years 3 months ago
Optimal Layered Multicast with Network Coding: Mathematical Model and Empirical Studies
Abstract--Recent advances in network coding research dramatically changed the underlying structure of optimal multicast routing algorithms and made them efficiently computable. Whi...
Ajay Gopinathan, Zongpeng Li
EUC
2005
Springer
15 years 7 months ago
A Multi-dimensional Model for Task Representation and Allocation in Intelligent Environments
Abstract. In the future, homes will have numerous intelligent communicating devices, and the user would like to configure and coordinate their actions. Appliances and people in in...
Victor Zamudio, Victor Callaghan, Jeannette Shiaw-...