aaai 2014 论文列表Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014. |
ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference.
Efficient Probabilistic Inference for Dynamic Relational Models.
Solving Distributed Constraint Optimization Problems Using Ranks.
Evidence-Based Clustering for Scalable Inference in Markov Logic.
Scalable Learning for Structure in Markov Logic Networks.
Hierarchical Reasoning with Probabilistic Programming.
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.
A Proposal for Statistical Outlier Detection in Relational Structures.
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics.
A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck.
A Sparse Parameter Learning Method for Probabilistic Logic Programs.
Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond.
Learning Tractable Statistical Relational Models.
Automated Debugging with Tractable Probabilistic Programming.
Towards Adversarial Reasoning in Statistical Relational Domains.
Applying Marginal MAP Search to Probabilistic Conformant Planning: Initial Results.
Classification from One Class of Examples for Relational Domains.
Relational Logistic Regression: The Directed Analog of Markov Logic Networks.
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting.
Extending PSL with Fuzzy Quantifiers.
Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain.
Parameter Estimation for Relational Kalman Filtering.
Reasoning in the Description Logic BEL Using Bayesian Networks.
Efficient Markov Logic Inference for Natural Language Semantics.
Lifting Relational MAP-LPs using Cluster Signatures.
Preface.
Organizers.