David Hofmeyr

Senior Lecturer

University of Lancaster

United Kingdom

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About

David Hofmeyr is a Senior Lecturer at Lancaster University in the United Kingdom. His research areas encompass machine learning applications in digital soil mapping, including methods for estimating soil thickness and clustering large data sets. He has authored several recent articles, focusing on topics such as multivariate random forests and kernel smoothing techniques.

Articles (8)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Collaborators (3)

Laura Poggio

Wageningen University & Research

NETHERLANDS

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Madlene Nussbaum

Assistant Professor

Utrecht University

NETHERLANDS

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Gerard B. M. Heuvelink

NETHERLANDS

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David Hofmeyr

Research Interests

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Articles (8)

Mapping soil thickness by accounting for right‐censored data with survival probabilities and machine learning

Incremental estimation of low-density separating hyperplanes for clustering large data sets

Multivariate random forest for digital soil mapping

Optimal projections for Gaussian discriminants

Measurement error-filtered machine learning in digital soil mapping

Fast Kernel Smoothing in R with Applications to Projection Pursuit

Fast Exact Evaluation of Univariate Kernel Sums

Degrees of freedom and model selection for k-means clustering

Collaborators (3)

Laura Poggio

Madlene Nussbaum

Gerard B. M. Heuvelink

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