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» Learning from sensor network data
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SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
14 years 11 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta
ICANN
2009
Springer
15 years 4 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
SSDBM
2003
IEEE
137views Database» more  SSDBM 2003»
15 years 3 months ago
Supporting Sliding Window Queries for Continuous Data Streams
Although traditional databases and data warehouses have been exploited widely to manage persistent data, a large number of applications from sensor network need functional support...
Lin Qiao, Divyakant Agrawal, Amr El Abbadi
NN
2008
Springer
201views Neural Networks» more  NN 2008»
14 years 10 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
MLDM
2007
Springer
15 years 4 months ago
Mining Frequent Trajectories of Moving Objects for Location Prediction
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
Mikolaj Morzy