Correlated product of experts for sparse Gaussian process regression
Gaussian processes (GPs) are an important tool in machine learning and statistics.
However, off-the-shelf GP inference procedures are limited to datasets with several …
However, off-the-shelf GP inference procedures are limited to datasets with several …
[KSIĄŻKA][B] Applications
Machine Learning under Resource Constraints addresses novel machine learning
algorithms that are challenged by high-throughput data, by high dimensions, or by complex …
algorithms that are challenged by high-throughput data, by high dimensions, or by complex …
[PDF][PDF] Ensemble learning with discrete classifiers on small devices
S Buschjäger - 2022 - eldorado.tu-dortmund.de
Abstract Machine learning has become an integral part of everyday life ranging from
applications in AI-powered search queries to (partial) autonomous driving. Many of the …
applications in AI-powered search queries to (partial) autonomous driving. Many of the …
Contributions to scalable gaussian processes
MP Schürch - 2022 - sonar.ch
This thesis provides novel contributions to scalable Gaussian processes (GPs), which
constitute an important tool in machine learning and statistics with applications ranging from …
constitute an important tool in machine learning and statistics with applications ranging from …