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Autor:
Ian E H, Yen, Wei-Cheng, Lee, Sung-En, Chang, Arun S, Suggala, Shou-De, Lin, Pradeep, Ravikumar
Publikováno v:
Proceedings of machine learning research. 70
The latent feature model (LFM), proposed in (Griffiths & Ghahramani, 2005), but possibly with earlier origins, is a generalization of a mixture model, where each instance is generated not from a single latent class but from a combination of latent fe