Artificial Intelligence

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Nonparametric Bayesian Texture Learning and Synthesis NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Occlusive Components Analysis NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 On the consistency of multi-robot cooperative localization RSS 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NeurIPS 2009 Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Perceptual Multistability as Markov Chain Monte Carlo Inference NeurIPS 2009 Perturbation Corrections in Approximate Inference: Mixture Modelling Applications JMLR 2009 POMDPs for robotic tasks with mixed observability RSS 2009 Positioning unmanned aerial vehicles as communication relays for surveillance tasks RSS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009 Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009 Quantification and the language of thought NeurIPS 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Region-based Segmentation and Object Detection NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Rethinking LDA: Why Priors Matter NeurIPS 2009