Multi-Output Random Forests
The Random Forests ensemble predictor has proven to be well-suited for solving a multitudeof different prediction problems. In this thesis, we propose an extension to the Random Forestframework that allows Random Forests to be constructed for multi-output decision problemswith arbitrary combinations...
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Format: | Others |
Language: | English |
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Högskolan i Borås, Institutionen Handels- och IT-högskolan
2013
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17167 |