Adaptive machine learning for pattern extraction and network analysis in time-series data
Lead Research Organisation:
University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP
Abstract
Adaptive machine learning for pattern extraction and network analysis in time-series data This PhD research will focus on
theoretical machine learning and will develop network analysis models to analyse the correlation and causal relations in
time-series data patterns. The work will initially develop probabilistically and information theory-driven methods (such as
Bayesian networks and entropy-based models). The research will also explore developing dynamic network learning
models and causal inference analysis in processing the patterns in multivariate time-series data.
theoretical machine learning and will develop network analysis models to analyse the correlation and causal relations in
time-series data patterns. The work will initially develop probabilistically and information theory-driven methods (such as
Bayesian networks and entropy-based models). The research will also explore developing dynamic network learning
models and causal inference analysis in processing the patterns in multivariate time-series data.
Organisations
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509772/1 | 01/10/2016 | 30/09/2021 | |||
| 2437074 | Studentship | EP/N509772/1 | 01/10/2020 | 30/09/2023 | Jack Hilliard |
| EP/R513350/1 | 01/10/2018 | 30/09/2023 | |||
| 2437074 | Studentship | EP/R513350/1 | 01/10/2020 | 30/09/2023 | Jack Hilliard |