GreenML : A methodology for fair evaluation of machine learning algorithms with respect to resource consumption
Impressive results can be achieved when stacking deep neural networks hierarchies together. Several machine learning papers claim state-of-the-art results when evaluating their models with different accuracy metrics. However, these models come at a cost, which is rarely taken into consideration. Thi...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Institutionen för datavetenskap
2019
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159837 |