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Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset.

, , , and . IDA, volume 8207 of Lecture Notes in Computer Science, page 249-260. Springer, (2013)

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Logical Hidden Markov Models., , and . J. Artif. Intell. Res., (2006)Variational Bayesian learning of nonlinear hidden state-space models for model predictive control., and . Neurocomputing, 72 (16-18): 3704-3712 (2009)Semi-supervised detection of collective anomalies with an application in high energy particle physics., , , , , and . IJCNN, page 1-8. IEEE, (2012)How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks., , , , and . CoRR, (2016)Nonlinear Relational Markov Networks with an Application to the Game of Go.. ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 989-996. Springer, (2005)Techniques for Learning Binary Stochastic Feedforward Neural Networks., , , and . ICLR (Poster), (2015)Practical Approaches to Principal Component Analysis in the Presence of Missing Values., and . J. Mach. Learn. Res., (2010)A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians., , , and . IJCNN, page 1688-1695. IEEE Computer Society, (2009)Ladder Variational Autoencoders., , , , and . NIPS, page 3738-3746. (2016)Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models., , , and . Pacific Symposium on Biocomputing, page 192-203. (2003)