16 search results - page 2 / 4 » Probability Density Function Estimation Using Orthogonal For... |
IJCNN
2008
IEEE
14 years 2 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...
IEICET
2010
13 years 7 months ago
2010
Density ratio estimation has gathered a great deal of attention recently since it can be used for various data processing tasks. In this paper, we consider three methods of densit...
CSDA
2008
13 years 8 months ago
2008
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
ICPR
2000
IEEE
14 years 9 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
JDCTA
2010
13 years 3 months ago
2010
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...