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Methodology
← Core Methods
Machine Learning
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Core Methods
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Graphical Models
933 directly classified papers
Papers per year
2002: 1
2005: 1
2006: 30
2007: 24
2008: 21
2009: 28
2010: 32
2011: 37
2012: 75
2013: 79
2014: 55
2015: 42
2016: 52
2017: 34
2018: 67
2019: 52
2020: 89
2021: 41
2022: 49
2023: 40
2024: 60
2025: 24
Papers
Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks
PGM 2016
Bayesian Networks for Variable Groups
PGM 2016
Learning Acyclic Directed Mixed Graphs from Observations and Interventions
PGM 2016
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference
CVPR 2016
Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
CVPR 2016
Joint Recovery of Dense Correspondence and Cosegmentation in Two Images
CVPR 2016
Learning Tractable Multidimensional Bayesian Network Classifiers
PGM 2016
Consistency of Silhouettes and Their Duals
CVPR 2016
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks
CVPR 2016
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
CVPR 2016
Automatic Fence Segmentation in Videos of Dynamic Scenes
CVPR 2016
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions
CVPR 2016
Object Co-Segmentation via Graph Optimized-Flexible Manifold Ranking
CVPR 2016
Multi-task Sparse Structure Learning with Gaussian Copula Models
JMLR 2016
Estimating Causal Structure Using Conditional DAG Models
JMLR 2016
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums
JMLR 2016
Rounding-based Moves for Semi-Metric Labeling
JMLR 2016
Decrypting “Cryptogenic” Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients
JMLR 2016
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
JMLR 2016
Joint Structural Estimation of Multiple Graphical Models
JMLR 2016
Stable Graphical Models
JMLR 2016
Bayesian Graphical Models for Multivariate Functional Data
JMLR 2016
Learning Planar Ising Models
JMLR 2016
Stability and Generalization in Structured Prediction
JMLR 2016
Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease
PGM 2016
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