1921 search results - page 124 / 385 » Learning from sensor network data |
ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
131
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IJCNN
2000
IEEE
15 years 7 months ago
2000
IEEE
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
147
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SENSYS
2009
ACM
15 years 10 months ago
2009
ACM
Energy in sensor networks is a distributed, non-transferable resource. Over time, differences in energy availability are likely to arise. Protocols like routing trees may concent...
143
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COMCOM
2006
15 years 3 months ago
2006
Scalability and extended lifetime are two critical design goals of any large scale wireless sensor network. A two-tiered network model has been proposed recently for this purpose....
125
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ICDM
2003
IEEE
15 years 8 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...