222 search results - page 6 / 45 » Experiments with random projections for machine learning |
CVPR
2010
IEEE
13 years 12 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
SIGCSE
2005
ACM
14 years 2 months ago
2005
ACM
Operating system courses teach students much more when they provide hands-on kernel-level project experience with a real operating system. However, enabling a large class of stude...
Publication
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
ICDAR
2007
IEEE
14 years 2 months ago
2007
IEEE
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
ML
2000
ACM
13 years 8 months ago
2000
ACM
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...