Concept

Kernel regression

Related publications (55)

Robust Data-Driven Dynamic Programming

In stochastic optimal control the distribution of the exogenous noise is typically unknown and must be inferred from limited data before dynamic programming (DP)-based solution schemes can be applied. If the conditional expectations in the DP recursions ar ...

2013

Towards Estimation of Frontcrawl Energy Expenditure Using the Wearable Aquatic Movement Analysis System (WAMAS)

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

Inertial measurement unit (IMU) is a promising tool in the quantification of energy expenditure for human on-land activities, though has never been deployed before to calculate the aquatic activities energy expenditure. Investigating the factors that influ ...

IEEE2013

Towards Estimation of Front-crawl Energy Expenditure Using the Wearable Aquatic Movement Analysis System (WAMAS)

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

Ieee2013

Mean field variational Bayesian inference for nonparametric regression with measurement error

Tung Huy Pham

A fast mean field variational Bayes (MFVB) approach to nonparametric regression when the predictors are subject to classical measurement error is investigated. It is shown that the use of such technology to the measurement error setting achieves reasonable ...

Elsevier2013

Nonparametric Construction of Multivariate Kernels

Victor Panaretos, Kjell Konis

We propose a nonparametric method for constructing multivariate kernels tuned to the configuration of the sample, for density estimation in R-d, d moderate. The motivation behind the approach is to break down the construction of the kernel into two parts: ...

American Statistical Association2012

Kernel regression for real-time building energy analysis

Matthew Brown

This study proposes a new technique for real-time building energy modelling and event detection using kernel regression. We show that this technique can exceed the performance of conventional neural network algorithms, and do so by a large margin when the ...

Taylor & Francis Ltd2012

Methodology to account for uncertainties and tradeoffs in pharmaceutical environmental hazard assessment

David Andrew Barry, Luca Rossi, Sylvain Coutu

Many pharmaceutical products find their way into receiving waters, giving rise to concerns regarding their environmental impact. A procedure was proposed that enables ranking of the hazard to aquatic species and human health due to such products. In the pr ...

Elsevier2012

Integration of Urban Structures in Point Process Analysis

Loïc Gasser

Traditionally, spatial analysis of point pattern has been mostly focused on Euclidean space. As many human related phenomena take place on a network, the assumption of a continuous isotropic space fails to describe events which actually occur on a one-dime ...

2011

Progressive Expectation-maximization for Hierarchical Volumetric Photon Mapping

Wenzel Alban Jakob

State-of-the-art density estimation methods for rendering participating media rely on a dense photon representation of the radiance distribution within a scene. A critical bottleneck of such kernel-based approaches is the excessive number of photons that a ...

Eurographics Association2011

Convolution on the n-Sphere With Application to PDF Modeling

Ivan Dokmanic

In this paper, we derive an explicit form of the convolution theorem for functions on an n-sphere. Our motivation comes from the design of a probability density estimator for n-dimensional random vectors. We propose a probability density function (pdf) est ...

Institute of Electrical and Electronics Engineers2010

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