Concept

Local regression

Related publications (90)

Process Design and Optimization (MLS-S03): a Journey in Modeling, Optimization and Regression

This lecture describes the following topics: • Preamble on Linear Algebra • Dynamic and Static Models • Solving Dynamic and Static Models • Solving Optimization Problems • Solving Regression Problems ...

2015

Interactive Design of Probability Density Functions for Shape Grammars

Mark Pauly, Duygu Ceylan, Boris Neubert, Stefan Lienhard

A shape grammar defines a procedural shape space containing a variety of models of the same class, e.g. buildings, trees, furniture, airplanes, bikes, etc. We present a framework that enables a user to interactively design a probability density function (p ...

Assoc Computing Machinery2015

Robotic training for hand movements during manual welding with real-time alarm feedback

Aude Billard, Mustafa Suphi Erden

Purpose – The purpose of this study is to develop a robotic training system for the hand movements during manual welding. The system provides real-time notice-feedback with sound or light alarms, whenever the welding hand vibrates beyond the nominal level ...

2015

Robotic training for hand movements during manual welding with real-time alarm feedback

Aude Billard, Mustafa Suphi Erden

Purpose - The purpose of this study is to develop a robotic training system for the hand movements during manual welding. The system provides real-time notice-feedback with sound or light alarms, whenever the welding hand vibrates beyond the nominal level ...

Emerald2015

A new smoothness based strategy for semi-supervised atmospheric correction: application to the Léman-Baïkal campaign

Bertrand Merminod, Manuel Simon Paul Cubero-Castan, Yosef Akhtman, Dragos Constantin, Vincent Maurice Nouchi, Kevin Sylvain Barbieux

The estimation of reflectance from hyperspectral data, a process called atmospheric correction, is a critical first step. Most of the methods need measurements of ground reflectances or atmosphere. When no information is available, unsupervised methods as ...

2015

Distributed bounded-error state estimation based on practical robust positive invariance

Giancarlo Ferrari Trecate

We propose a state estimator for linear discrete-time systems composed by coupled subsystems affected by bounded disturbances. The architecture is distributed in the sense that each subsystem is equipped with a local state estimator that exploits suitable ...

2015

A comparison of strategies for estimation of ultrafine particle number concentrations in urban air pollution monitoring networks

Matteo Reggente, Prashant Kumar

We propose three estimation strategies (local, remote and mixed) for ultrafine particles (UFP) at three sites in an urban air pollution monitoring network. Estimates are obtained through Gaussian process regression based on concentrations of gaseous pollut ...

Elsevier Sci Ltd2015

Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm

Ali H. Sayed

We study the problem of distributed adaptive estimation over networks where nodes cooperate to estimate physical parameters that can vary over both space and time domains. We use a set of basis functions to characterize the space-varying nature of the para ...

2014

Additive Smooth Modelling with Splines

Thomas Lugrin

Linear regression summarises the link between a variable of interest and one or several explanatory variables through a parametric relationship. Hastie and Tibshirani (1986) extended this approach by allowing a non-parametric description of the dependence ...

2014

Exploratory Analysis of Endogeneity in Discrete Choice Models

Michel Bierlaire, Anna Fernández Antolín, Amanda Blomberg Stathopoulos

A model is said to be affected by endogeneity when its deterministic part is correlated with the error term. This is an issue that affects both linear models such as regression and non-linear models like discrete choice models. It is a classical and well s ...

2014

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