4 search results - page 1 / 1 » Sparse kernel density estimator using orthogonal regression ... |
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
IDEAL
2004
Springer
14 years 5 days ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
IJON
2010
13 years 5 months ago
2010
TSMC
2010
13 years 1 months ago
2010
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 estimat...