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Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance
The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of promising research directions. We present a case for the use of advanced machine learning...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5042987/ https://www.ncbi.nlm.nih.gov/pubmed/27746813 http://dx.doi.org/10.1186/s13637-016-0050-0 |