Bayesian Learning

Bayesian Exponential Family PCA NeurIPS 2008 Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Bayesian Model of Behaviour in Economic Games NeurIPS 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Bayesian Synchronous Grammar Induction NeurIPS 2008 Characterizing response behavior in multisensory perception with conflicting cues NeurIPS 2008 Continuously-adaptive discretization for message-passing algorithms NeurIPS 2008 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds 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 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 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 JNCC2: The Java Implementation Of Naive Credal Classifier 2 JMLR 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008