Active learning via Transduction in Regression Forests
Context. The amount of training data required to build accurate modelsis a common problem in machine learning. Active learning is a techniquethat tries to reduce the amount of required training data by making activechoices of which training data holds the greatest value.Objectives. This thesis aims...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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Blekinge Tekniska Högskola, Institutionen för kreativa teknologier
2015
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10935 |