O'Donoghue, Jim and Roantree, Mark (2014) Deep learning for high dimensional and sparse clinical study data. In: Insight Student Conference 2014, 12 Sept 2014, Univrsity College Dublin.
Abstract
Mining datasets which contain an overabundance of features, as well as many missing values is often a problem, and poorly handled by shallow learning architectures.
Metadata
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Machine learning Computer Science > Artificial intelligence |
| DCU Faculties and Centres: | Research Institutes and Centres > INSIGHT Centre for Data Analytics |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | European Framework Programme 7, EU |
| ID Code: | 21269 |
| Deposited On: | 12 Jul 2016 13:29 by Jim O'Donoghue . Last Modified 19 Jul 2018 15:08 |
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