latent variable

Estimating image bases for visual image reconstruction from human brain activity NeurIPS 2009 Structured output regression for detection with partial truncation NeurIPS 2009 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models JMLR 2009 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Convex Relaxations of Latent Variable Training NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Sparse Overcomplete Latent Variable Decomposition of Counts Data NeurIPS 2007 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 Learning the Structure of Linear Latent Variable Models JMLR 2006 Modeling Dyadic Data with Binary Latent Factors NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001