conftrace_
← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
'05
'10
'15
'20
'25

Papers

Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008
Dependent Dirichlet Process Spike Sorting NIPS 2008
Generative and Discriminative Learning with Unknown Labeling Bias NIPS 2008
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NIPS 2008
Load and Attentional Bayes NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Bayesian Synchronous Grammar Induction NIPS 2008
Continuously-adaptive discretization for message-passing algorithms NIPS 2008
Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
Psychiatry: Insights into depression through normative decision-making models NIPS 2008
Goal-directed decision making in prefrontal cortex: a computational framework NIPS 2008
Improving on Expectation Propagation NIPS 2008
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Non-stationary dynamic Bayesian networks NIPS 2008
The Mondrian Process NIPS 2008
Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008
HPB: A Model for Handling BN Nodes with High Cardinality Parents JMLR 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs JMLR 2008
JNCC2: The Java Implementation Of Naive Credal Classifier 2 JMLR 2008
Learning Bounded Treewidth Bayesian Networks JMLR 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008