264 search results - page 27 / 53 » Learning Linearly Separable Languages |
JMLR
2006
13 years 8 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
ISMIS
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
TKDE
2011
13 years 3 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. Recently...