Probability density estimation with tunable kernels using orthogonal forward regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and diagonal covariance matrix, by minimizing a leave...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2010-08.
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| Subjects: | |
| Online Access: | Get fulltext |