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Silva, Ricardo - Gatsby Computational Neuroscience Unit, University College London
Towards Association Rules with Hidden Variables
Bayesian Inference for Gaussian Mixed Graph Models Ricardo Silva
Automatic Discovery of Latent Variable Models Ricardo Silva
Research Statement Ricardo Silva
Bayesian Learning of Measurement and Structural Models Ricardo Silva rbas@gatsby.ucl.ac.uk
New D-Separation Identification Results for Learning Continuous Latent Variable Models
Probabilistic Workflow Mining Ricardo Silva
Probabilistic Workflow Mining Ricardo Silva
Bayesian Inference for Discrete Mixed Graph Models: Normit Networks, Observable Independencies and Infinite Mixtures
Principled selection of impure measures for consistent learning of linear latent variable models
New D-Separation Identification Results for Learning Continuous Latent Variable Models
