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» Learning from sensor network data
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WWW
2010
ACM
15 years 5 months ago
Distributing private data in challenged network environments
Developing countries face significant challenges in network access, making even simple network tasks unpleasant. Many standard techniques—caching and predictive prefetching— ...
Azarias Reda, Brian D. Noble, Yidnekachew Haile
NN
2002
Springer
125views Neural Networks» more  NN 2002»
14 years 9 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
ICNS
2006
IEEE
15 years 4 months ago
Mobile Ad Hoc Networking Approach to Detecting and Querying Events Related to Farm Animals
This paper proposes a mobile ad hoc networking approach to detecting and querying events related to farm animals such as oestrus, animal diseases and decreased efficiency of pastu...
Milena Radenkovic, Bartosz Wietrzyk
NIPS
2003
14 years 11 months ago
Training a Quantum Neural Network
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
Bob Ricks, Dan Ventura
NIPS
2008
14 years 11 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang