UnBBayes Open source software for modeling, learning and reasoning upon probabilistic networks
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model learn reasoning probabilistic network modeller learn probabilistic network

UnBBayes Description

Open source software for modeling, learning and reasoning upon probabilistic networks UnBBayes is a probabilistic network framework written in Java. UnBBayes has a GUI editor, an API, an inference engine and a learning environment. UnBBayes supports BN, ID, MSBN, MEBN/PR-OWL, measure and search (K2, B, and V), and incremental learning. Requirements: · Java What's New in This Release: · Show findings in different color in SSBN. · Add look and feel for current system. · Integrate Pruning with Grand BN construction. · Prune Grand BN using d-separation. · New Grand BN construction. · Generic Progress Bar. · Create XMLBIF version 6. · New GUI. · Allow inference with Gibbs. · Add simulation to GUI. · Gibbs Sampling. · Allow finding in evaluation. · Implement test case for Evaluation module. · Compute exact confusion matrix. · Compute error for evaluation. · Include Load and Save DNE format in GUI. · Load and Save DNE format. · Include PCC marginal improvement and cost rate in GUI. · Compute evidence cost rate. · Compute marginal improvement. · Remove Java 6 dependency. · Implement OOBN -> MSBN convertion tool. · Arrows at node's edge.

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