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» Estimation in covariate-adjusted regression
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ICANN
1997
Springer
15 years 2 months ago
Topology Representing Networks for Intrinsic Dimensionality Estimation
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
Jörg Bruske, Gerald Sommer
IJAR
2010
97views more  IJAR 2010»
14 years 9 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
COMCOM
2006
94views more  COMCOM 2006»
14 years 11 months ago
Estimation of network distances using off-line measurements
Several emerging large-scale Internet applications such as Content Distribution Networks, and Peerto-Peer networks could potentially benefit from knowing the underlying Internet t...
Prasun Sinha, Danny Raz, Nidhan Choudhuri
CSDA
2007
87views more  CSDA 2007»
14 years 11 months ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas
NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 11 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine