1393 search results - page 35 / 279 » Machine Learning by Function Decomposition |
119
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ICANN
2010
Springer
15 years 26 days ago
2010
Springer
So-called Physical Unclonable Functions are an emerging, new cryptographic and security primitive. They can potentially replace secret binary keys in vulnerable hardware systems an...
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
ECTEL
2006
Springer
15 years 3 months ago
2006
Springer
Workplace learning offers the unique possibility of the immediacy of purpose and real-world context. In order to leverage on this, we have developed a context-aware method to suppo...
107
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TNN
2010
14 years 6 months ago
2010
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
118
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ICML
2007
IEEE
16 years 18 days ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...