Bayesian & Probabilistic

Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Efficient Inference in Phylogenetic InDel Trees NeurIPS 2008 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008 Gas Distribution Modeling using Sparse Gaussian Process Mixture Models RSS 2008 Gates NeurIPS 2008 Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 How memory biases affect information transmission: A rational analysis of serial reproduction NeurIPS 2008 HPB: A Model for Handling BN Nodes with High Cardinality Parents JMLR 2008 HyPE: Hybrid Particle-Element Approach for Recursive Bayesian Searching and Tracking RSS 2008 Improving on Expectation Propagation NeurIPS 2008 Integrating Locally Learned Causal Structures with Overlapping Variables NeurIPS 2008 Interpreting the neural code with Formal Concept Analysis NeurIPS 2008 JNCC2: The Java Implementation Of Naive Credal Classifier 2 JMLR 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008