Multi-class Supervised Classification Techniques for High-dimensional Data: Applications to Vehicle Maintenance at Scania
In vehicle repairs, many times locating the cause of error could turn out more time consuming than the reparation itself. Hence a systematic way to accurately predict a fault causing part would constitute a valuable tool especially for errors difficult to diagnose. This thesis explores the predictiv...
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| Format: | Others |
| Language: | English |
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KTH, Matematisk statistik
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209257 |