Compiling Bayesian Network Classifiers into Decision Graphs
Authors: Andy Shih, Arthur Choi, Adnan Darwiche7966-7974
AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results relating to scalability are then given in Section 6, followed by a case study in Section 7. |
| Researcher Affiliation | Academia | Andy Shih, Arthur Choi, Adnan Darwiche Computer Science Department University of California, Los Angeles {andyshih,aychoi,darwiche}@cs.ucla.edu |
| Pseudocode | Yes | Algorithm 1 compile-classifier(B, π) ... Algorithm 2 compile-subclassifier(B, u, π, k) ... Algorithm 3 block-order(B, X) |
| Open Source Code | No | The paper mentions using the 'Sam IAm library' but does not provide access to the authors' own implementation code for their proposed method. |
| Open Datasets | Yes | The win95pts network is used to diagnose why a printing job has failed (Breese and Heckerman 1996). ... Next, we consider the Andes network, which models students problem-solving skills in physics (Gertner, Conati, and Van Lehn 1998). |
| Dataset Splits | No | The paper does not provide specific dataset split information (e.g., percentages, sample counts) for training, validation, and test sets. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., CPU/GPU models, memory) used for running its experiments. |
| Software Dependencies | No | Inference calls were performed using the Sam IAm library.2 ... 2Available at http://reasoning.cs.ucla.edu/samiam/ (No version number mentioned for the library.) |
| Experiment Setup | Yes | We assume a threshold of 1/2. ... The ODD size and compilation time are also significantly affected by the threshold of the classifier. A heavily biased threshold can lead to a very small ODD and a short compilation time, while a balanced threshold generally leads to larger ODDs. |