Gaussian process in computational biology : covariance functions for transcriptomics

In the field of machine learning, Gaussian process models are widely used families of stochastic process for modelling data observed over time, space or both. Gaussian processes models are nonparametric, meaning that the models are developed on an infinite-dimensional parameter space. The parameter...

Full description

Bibliographic Details
Main Author: Rahman, Muhammad Arifur
Other Authors: Lawrence, Neil
Published: University of Sheffield 2018
Subjects:
004
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736571