Multitask Gaussian processes for multivariate physiological time-series analysis.
Gaussian process (GP) models are a flexible means of performing nonparametric Bayesian regression. However, GP models in healthcare are often only used to model a single univariate output time series, denoted as single-task GPs (STGP). Due to an increasing prevalence of sensors in healthcare setti...
Main Authors: | Dürichen, R, Pimentel, M, Clifton, L, Schweikard, A, Clifton, D |
---|---|
格式: | Journal article |
语言: | eng |
出版: |
IEEE
2015
|
相似书籍
-
Multi-task Gaussian process models for biomedical applications
由: Durichen, R, et al.
出版: (2014) -
A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes
由: Dürichen, R, et al.
出版: (2014) -
Probabilistic estimation of respiratory rate using gaussian processes
由: Pimentel, M, et al.
出版: (2013) -
Gaussian Processes for Monitoring Patients with Mobile Sensors
由: Clifton, D, et al.
出版: (2015) -
Gaussian process regression in vital-sign early warning systems.
由: Clifton, L, et al.
出版: (2012)