1860 search results - page 31 / 372 » Boosting Methods for Regression |
JDCTA
2010
13 years 2 months ago
2010
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
ISSRE
2000
IEEE
13 years 11 months ago
2000
IEEE
Automated generation of test cases is a prerequisite for fast testing. Whereas the research has addressed the creation of individual test points, test trajectoiy generation has at...
PAMI
2006
13 years 7 months ago
2006
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
IWANN
2009
Springer
14 years 1 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we described an efficient feature pursuit scheme for boosting. The proposed method is based on the infomax principle, which seeks optimal feature that achieves maxi...