How Many Diagnoses Do We Need?
Authors: Roni Stern, Meir Kalech, Shelly Rogov, Alexander Feldman
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | As a case study, we performed experiments on a standard Boolean circuit benchmark taken from the synthetic track in the annual DXC diagnosis competition of 2009. ... Tables 3 and 4 show the average normalized convergence rate for AUC and Euclidean distance metrics... |
| Researcher Affiliation | Collaboration | Roni Stern and Meir Kalech and Shelly Rogov Ben Gurion University of the Negev Be er Sheva, Israel Alexander Feldman Palo Alto Research Center Palo Alto, CA, USA |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | Yes | As a case study, we performed experiments on a standard Boolean circuit benchmark taken from the synthetic track in the annual DXC diagnosis competition of 2009. ... See details in the DXC 09 website: http://sites.google.com/ site/dxcompetition2009/. |
| Dataset Splits | No | The paper describes evaluating health states using metrics like AUC, which conceptually relates to classification problems, but it does not specify explicit training, validation, or testing dataset splits for the Boolean circuit benchmarks used in its experiments. |
| Hardware Specification | No | The paper does not provide any specific hardware details (e.g., CPU, GPU models, memory, or cloud instance types) used for running its experiments. |
| Software Dependencies | No | The paper discusses various diagnosis algorithms and tools conceptually (e.g., GDE, CDA*), but it does not specify any software dependencies with version numbers for the implementation of its own experimental setup or methodology. |
| Experiment Setup | Yes | The paper specifies details of the experimental setup such as: 'The DA was halted when all subset-minimal diagnoses were found or after running for 15 minutes. The resulting set of subset-minimal diagnoses were sorted by cardinality, starting from the minimal cardinality diagnoses.' |