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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Temporal Dynamics of Cognitive Control 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
Sparse probabilistic projections 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
Partially Observed Maximum Entropy Discrimination Markov Networks 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
Multiscale Random Fields with Application to Contour Grouping NIPS 2008
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NIPS 2008
The Mondrian Process NIPS 2008
Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008
Causal Reasoning with Ancestral Graphs JMLR 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008
Mixed Membership Stochastic Blockmodels JMLR 2008
Approximations for Binary Gaussian Process Classification 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
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models RSS 2008