Computationally efficient models for high-dimensional and large-scale classification problems
Generally there are two main objectives in designing modern learning models when handling the problems with high-dimensional input spaces and a large amount of data. Firstly the model’s effectiveness in terms of a good accuracy needs to be met and secondly the model’s efficiency in terms of scalabil...
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| Формат: | Диссертация |
| Язык: | English |
| Опубликовано: |
2009
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| Online-ссылка: | https://hdl.handle.net/10356/19093 |