Analysis of Encoder Representations as Features Using Sparse Autoencoders in Gradient Boosting and Ensemble Tree Models
In: Advances in Artificial Intelligence - IBERAMIA 2018 : 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, Jg. 11238 (2018), S. 159-169
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Zugriff:
| Titel: |
Analysis of Encoder Representations as Features Using Sparse Autoencoders in Gradient Boosting and Ensemble Tree Models
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| Autor/in / Beteiligte Person: | Aguilar, Luis ; Aguilar, L. Antonio ; Hutchison, David, Series Editor ; Kanade, Takeo, Series Editor ; Kittler, Josef, Series Editor ; Kleinberg, Jon M., Series Editor ; Mattern, Friedemann, Series Editor ; Mitchell, John C., Series Editor ; Naor, Moni, Series Editor ; Pandu Rangan, C., Series Editor ; Steffen, Bernhard, Series Editor ; Terzopoulos, Demetri, Series Editor ; Tygar, Doug, Series Editor ; Weikum, Gerhard, Series Editor ; Simari, Guillermo R. [Ed.] ; Fermé, Eduardo [Ed.] ; Gutiérrez Segura, Flabio [Ed.] ; Rodríguez Melquiades, José Antonio [Ed.] |
| Zeitschrift: | Advances in Artificial Intelligence - IBERAMIA 2018 : 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, Jg. 11238 (2018), S. 159-169 |
| Veröffentlichung: | 2018 |
| Medientyp: | E-Book |
| ISBN: | 978-3-030-03927-1 (print) ; 978-3-030-03928-8 (print) |
| DOI: | 10.1007/978-3-030-03928-8_13 |
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