1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.AP2016★ 1 cited
Scalable Group Level Probabilistic Sparse Factor Analysis
Jesper L. Hinrich, Søren F. V. Nielsen, Nicolai A. B. Riis +6
Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation.…
stat.ML2014★ 1 cited
Adaptive Reconfiguration Moves for Dirichlet Mixtures
Tue Herlau, Morten Mørup, Yee Whye Teh +1
Bayesian mixture models are widely applied for unsupervised learning and exploratory data analysis. Markov chain Monte Carlo based on Gibbs sampling and split-merge moves are widel…