Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Learning the Structure of Probabilistic Sentential Decision Diagrams
Compiling probabilistic graphical models using sentential decision diagrams
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Decision-Driven Models with Probabilistic Soft Logic
Probabilistic Logic Learning
ProPPR: efficient first-order probabilistic logic programming for structure discovery, parameter learning, and scalable inference
Declarative Probabilistic Programming with Datalog.
Top-Down Induction of First-Order Logical Decision Trees
Symbolic Boolean manipulation with ordered binary-decision diagrams
Bottom-up learning of Markov logic network structure
Decision Making Using Probabilistic Inference Methods
The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks
End-to-end Learning of Deterministic Decision Trees
Inference and learning in probabilistic logic programs using weighted Boolean formulas
Learning the Structure of Dynamic Probabilistic Networks
A Review of Bayesian Networks and Structure Learning
PSI: Exact Symbolic Inference for Probabilistic Programs
The Complexity of Bayesian Networks Specified by Propositional and Relational Languages
Optimal and Approximate Stochastic Planning using Decision Diagrams
A Theoretical Framework for Structured Prediction using Factor Graph Complexity ∗
inferring decision trees using the minimum description length principle .
IndexFS: scaling file system metadata performance with stateless caching and bulk insertion
Robots , Trade , and Luddism ∗
The Thompson procedure for chronic mallet finger deformity.
Accounting Information System (AIS) Alignment and Non-financial Performance in Small Firm: A Contingency Perspective
Hierarchical Models of Object Recognition in Cortex