Statistical Relational Artificial Intelligence
Papers
Deep Transfer as Structure Learning in Markov Logic Networks
PDFProbabilistic Programming for Planning Problems
PDFApproximate Lifted Belief Propagation
PDFAn Architectural Approach to Statistical Relational AI
PDFDeclarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up
PDFBayesian Abductive Logic Programs
PDFMachine Reading: A “Killer App” for Statistical Relational AI
PDFIntegrating Structured Metadata with Relational Affinity Propagation
PDFEfficient Lifting for Online Probabilistic Inference
PDFExploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
PDFAutomatic Inference in BLOG
PDFUsing Structural Motifs for Learning Markov Logic Networks
PDFLeveraging Ontologies for Lifted Probabilistic Inference and Learning
PDFStochastic Planning and Lifted Inference
PDFOnline Max-Margin Weight Learning with Markov Logic Networks
PDFLifted Message Passing for Satisfiability
PDFExploiting Logical Structure in Lifted Probabilistic Inference
PDFLifted Inference for Relational Continuous Models
PDFRelational Learning for Collective Classification of Entities in Images
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