MA
2010
Springer
13 years 10 months ago
2010
Springer
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
CSDA
2004
13 years 11 months ago
2004
A wavelet approach is presented for estimating a partially linear model (PLM). We
JMLR
2006
13 years 11 months ago
2006
This paper is about non-approximate acceleration of high-dimensional nonparametric operations such as k nearest neighbor classifiers. We attempt to exploit the fact that even if w...
Publication
We present a class of models that, via a simple construction,
enables exact, incremental, non-parametric, polynomial-time,
Bayesian inference of conditional measures. The approac...
ANNPR
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...