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MA
2010
Springer
135views Communications» more  MA 2010»
9 years 9 months ago
Nonparametric comparison of regression functions
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...
Ramidha Srihera, Winfried Stute
CSDA
2004
73views more  CSDA 2004»
9 years 10 months ago
Wavelet estimation of partially linear models
A wavelet approach is presented for estimating a partially linear model (PLM). We
Xiao-Wen Chang, Leming Qu
JMLR
2006
206views more  JMLR 2006»
9 years 10 months ago
New Algorithms for Efficient High-Dimensional Nonparametric Classification
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...
Ting Liu, Andrew W. Moore, Alexander G. Gray

Publication
252views
10 years 1 months ago
Context models on sequences of covers
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...
Christos Dimitrakakis
ANNPR
2006
Springer
10 years 2 months ago
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
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...
Edmondo Trentin
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