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Graphical Models

933 directly classified papers

Papers per year

Papers

Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Time-Varying Dynamic Bayesian Networks NIPS 2009
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NIPS 2009
Localizing Bugs in Program Executions with Graphical Models NIPS 2009
Segmenting Scenes by Matching Image Composites NIPS 2009
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NIPS 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008
Supervised Bipartite Graph Inference NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Continuously-adaptive discretization for message-passing algorithms NIPS 2008
Efficient Exact Inference in Planar Ising Models NIPS 2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Influence of graph construction on graph-based clustering measures NIPS 2008
Gates NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
Fast Prediction on a Tree NIPS 2008
Predicting the Geometry of Metal Binding Sites from Protein Sequence NIPS 2008
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008