Stochastic EM for generic topic modeling using probabilistic programming
Probabilistic topic models are a versatile class of models for discovering latent themes in document collections through unsupervised learning. Conventional inferential methods lack the scaling capabilities necessary for extensions to large-scale applications. In recent years Stochastic Expectation...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
Uppsala universitet, Statistiska institutionen
2021
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447568 |