Efficient Hyperparameter Tuning with Grid Search for Text Categorization using kNN Approach with BM25 Similarity
In machine learning, hyperparameter tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. Several approaches have been widely adopted for hyperparameter tuning, which is typically a time consuming process. We propose an efficient technique to speed up the proce...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
De Gruyter
2019-08-01
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| coleção: | Open Computer Science |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1515/comp-2019-0011 |
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