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» Algorithmic models for sensor networks
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ICML
2000
IEEE
15 years 9 months ago
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Thomas R. Shultz, François Rivest
ICASSP
2011
IEEE
14 years 8 months ago
Cooperative prey herding based on diffusion adaptation
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and dis...
Sheng-Yuan Tu, Ali H. Sayed
HPDC
2008
IEEE
15 years 11 months ago
Resource tracking in parallel and distributed applications
In this paper, we introduce the Join-Elect-Leave (JEL) model, a simple yet powerful model for tracking the resources participating in an application. This model is based on the co...
Niels Drost, Rob van Nieuwpoort, Jason Maassen, He...
MOBISYS
2008
ACM
16 years 4 months ago
Anonysense: privacy-aware people-centric sensing
Personal mobile devices are increasingly equipped with the capability to sense the physical world (through cameras, microphones, and accelerometers, for example) and the network w...
Cory Cornelius, Apu Kapadia, David Kotz, Daniel Pe...
IWANN
2009
Springer
15 years 11 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...