596 search results - page 66 / 120 » Learning noise |
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
JIFS
2002
13 years 8 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
ICMLC
2010
Springer
13 years 7 months ago
2010
Springer
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
COLT
2010
Springer
13 years 7 months ago
2010
Springer
A significant Fourier transform (SFT) algorithm, given a threshold and oracle access to a function f, outputs (the frequencies and approximate values of) all the -significant Fou...
JMLR
2010
13 years 3 months ago
2010
Security analysis of learning algorithms is gaining increasing importance, especially since they have become target of deliberate obstruction in certain applications. Some securit...