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Multi-task Gaussian process modelling for point process data
Easy introduction to gaussian process regression (uncertainty models)
Gaussian Processes : Data Science Concepts
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Last Updated: June 15, 2026
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This talk will discuss a newly introduced family of Bayesian approaches aiming at combining the structural advantages of deep ... Machine Learning Tutorial at Imperial College London: TemporalGPs.jl provides a single-function API to make inference in Ecologists become more and more aware of the importance of space and scale in ecology. Thus, there are several methods to ... Presenter Eli Sherman is a computer science PhD student at Johns Hopkins University. Uncertainty quantification (UQ) employs theoretical, numerical and computational tools to characterise uncertainty.
The machine learning consultancy: Join my email list to get educational and useful articles (and nothing else!) This talk by Yuxin Zhao, Ericsson Research presents the paper " Magnus Rattray, University of Manchester Regulatory Genomics and Epigenomics ...
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