Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Automating the Construction of Internet Portals with Machine Learning
Information Retrieval
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Efficient learning of pseudo-boolean functions from limited training data
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Supporting velocity of investigation with behavior analysis of malware
Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research
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We introduce local soft belief updating, a new heuristic for taking into account relations that exist between entities in a database. Our idea applies Pearl's belief updating, but only in the first-order neighborhood of each node, thus avoiding any problems with loops. We apply our method to a classification problem using a subset of the Cora database of computer science articles, with Cora's citation graph giving the relations between entities.