995 search results - page 142 / 199 » Learning Useful Horn Approximations |
136
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GLOBECOM
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
142
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BMVC
2010
15 years 2 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
134
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TSP
2010
14 years 10 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
115
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
—A procedure is presented for selecting and ordering the polynomial basis functions in the functional link net (FLN). This procedure, based upon a modified Gram Schmidt orthonorm...
129
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...