Active learning in the detection of seismic events using artificial neural networks
In previous studies, a Support Vector Machine (SVM) was trained with a universe of data consisting of 3284 samples, which was divided into two sets, for training and validation, with approximately the same number of elements. Then put into practice a strategy of active learning having been obtained...
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| Formato: | conferenceObject |
| Idioma: | por |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10400.1/2275 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2275 |