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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Bayesian Sparse Factor Models and DAGs Inference and Comparison NIPS 2009
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Learning a Small Mixture of Trees NIPS 2009
An Additive Latent Feature Model for Transparent Object Recognition NIPS 2009
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NIPS 2009
Localizing Bugs in Program Executions with Graphical Models NIPS 2009
Stable and Efficient Gaussian Process Calculations JMLR 2009
Improving Existing Fault Recovery Policies NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
Probabilistic Relational PCA NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Optimal context separation of spiking haptic signals by second-order somatosensory neurons NIPS 2009
Reading Tea Leaves: How Humans Interpret Topic Models NIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression NIPS 2009
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions NIPS 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals NIPS 2009
Conditional Random Fields with High-Order Features for Sequence Labeling NIPS 2009
Exponential Family Graph Matching and Ranking NIPS 2009
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NIPS 2009
Hierarchical Learning of Dimensional Biases in Human Categorization NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NIPS 2009
Clustering sequence sets for motif discovery NIPS 2009