Template based inference in symmetric relational Markov random fields

Keyphrases

• Joint Distribution 100%
• Template-based 100%
• Markov Random Field 100%
• Sufficient Statistics 100%
• Loopy Belief Propagation 100%
• Relational Model 100%
• Large Domain 50%
• Large Proteins 50%
• Difficulties in Learning 50%
• Statistical Learning 50%
• Belief Propagation 50%
• Approximate Inference 50%
• Protein-protein Interaction Network 50%
• Number of Features 50%
• Complete Data 50%
• Computational Difficulty 50%
• Number of Interactions 50%
• Learning Procedure 50%
• Computational Procedures 50%
• Parameter Selection 50%
• Learning Time 50%
• Complex Domain 50%
• Inference Time 50%
• Inference Methods 50%
• Typical Solutions 50%

Mathematics

• Running Time 100%
• Joint Distribution 100%
• Markov Random Fields 100%
• Sufficient Statistic 100%
• Approximates 50%
• Inference Procedure 50%
• Protein Interaction Network 50%
• Complete Data 50%

Computer Science

• Belief Propagation 100%
• Relational Database 66%
• Joint Distribution 66%
• Approximation (Algorithm) 33%
• Interacting Entity 33%