Using a Bayesian NeuralNetwork as a Tool for DocumentFiltering Considering User Profiles
This thesis describes methods and problems when using Bayesian Ar- tificial Neural Networks for text document classification. It also depict other methods used in text analysis and automated classification in gen- eral. The main tasks are to construct a network, investigate the effect of variations...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för datavetenskap och kommunikation (CSC)
2013
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137421 |