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Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings.

, , , and . ICDM, page 21-30. IEEE Computer Society, (2012)

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Bayesian Conditional Random Fields., , and . AISTATS, Society for Artificial Intelligence and Statistics, (2005)Predictive automatic relevance determination by expectation propagation., , , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)Sparse matrix-variate Gaussian process blockmodels for network modeling, , and . CoRR, (2012)Parameter Expanded Variational Bayesian Methods., and . NIPS, page 1097-1104. MIT Press, (2006)Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units., , and . NIPS, page 2134-2142. Curran Associates, Inc., (2009)EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning., and . NIPS, page 2663-2671. (2011)Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes., , , and . ICML, icml.cc / Omnipress, (2012)Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis., , and . ICML, icml.cc / Omnipress, (2012)Bayesian spectrum estimation of unevenly sampled nonstationary data., , and . ICASSP, page 1473-1476. IEEE, (2002)Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction., , , , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 611-618. Springer, (2010)