DEEP MODELLING OF MULTIPLE FACTORS OF UNCERTAINTY FOR ACTIVE LEARNING OF TEXT AND AUDIO
Lead Research Organisation:
Imperial College London
Department Name: Computing
Abstract
Here I propose the design of a trainable acquisition function for active learning that is able to discern
between various factors of uncertainty, exemplified by audio and text data prediction tasks.
research area: machine learning and AI
between various factors of uncertainty, exemplified by audio and text data prediction tasks.
research area: machine learning and AI
Organisations
People |
ORCID iD |
| Bjoern Schuller (Primary Supervisor) | |
| Georgios Rizos (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509486/1 | 01/10/2016 | 31/03/2022 | |||
| 2699420 | Studentship | EP/N509486/1 | 01/10/2017 | 31/03/2021 | Georgios Rizos |