42 search results - page 1 / 9 » Model Selection for Kernel Probit Regression |
149
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ESANN
2007
15 years 7 months ago
2007
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
163
Voted
IJCNN
2008
IEEE
16 years 23 days 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...
143
Voted
ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Kernel logistic regression models, like their linear counterparts, can be trained using the efficient iteratively reweighted least-squares (IRWLS) algorithm. This approach suggest...
180
Voted
IJCNN
2007
IEEE
16 years 20 days ago
2007
IEEE
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
201
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ICIC
2007
Springer
16 years 15 days ago
2007
Springer
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...