Corpus ID: 59206097

Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers

@inproceedings{Remes2015ClassificationOW,
  title={Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers},
  author={Sami Remes and Tommi Mononen and Samuel Kaski},
  year={2015}
}
  • Sami Remes, Tommi Mononen, Samuel Kaski
  • Published 2015
  • Computer Science, Mathematics
  • We propose a novel classification model for weak signal data, building upon a recent model for Bayesian multi-view learning, Group Factor Analysis (GFA). Instead of assuming all data to come from a single GFA model, we allow latent clusters, each having a different GFA model and producing a different class distribution. We show that sharing information across the clusters, by sharing factors, increases the classification accuracy considerably; the shared factors essentially form a flexible… CONTINUE READING

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