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Inducing Diagnostic Inference Models from Case Data

1998
Recent attention to using “case-based” reasoning for intelligent fault diagnosis has led to the development of very large, complex databases of diagnostic cases. The performance of case-based reasoners is dependent upon the size of the case base such that as case bases increase in size, it is usually reasonable to expect accuracy to improve but ...
openaire   +1 more source

Logic Evaluation Engine – Phase-Resolved Diagnostic Inference

# Logic Evaluation Engine – Phase-Resolved Diagnostic Inference This release documents and discloses the novel logical architecture, rotation mechanism, and inference structure behind the Logic Evaluation Engine (LEE). Specifically: - Covariant phase-based truth rotation: `mem → alive → jam → mem` - Conjugate contradiction tracking and forked ...
openaire   +1 more source

Causal inference for time series

Nature Reviews Earth & Environment, 2023
Jakob Runge, Gherardo Varando
exaly  

[Electrocardiographic inferences as a cause of diagnostic errors].

Kardiologiia, 1984
The authors analyzed the cause of diagnostic errors due to incorrect ECG interpretation. It was revealed that the cause for diagnostic errors may lie in the inadequate experience of the electrocardiologist , the overestimation of the method potentialities and the absence of the commonly accepted language of ECG interpretation.
A G, Dembo, E V, Zemtsovskiĭ
openaire   +1 more source

Prediction-powered inference

Science, 2023
Anastasios Nikolas Angelopoulos   +2 more
exaly  

Harnessing deep learning for population genetic inference

Nature Reviews Genetics, 2023
Xin Huang   +2 more
exaly  

Advantages and limitations of current network inference methods

Nature Reviews Microbiology, 2010
Riet De Smet, Kathleen Marchal
exaly  

Spectrum Inference in Cognitive Radio Networks: Algorithms and Applications

IEEE Communications Surveys and Tutorials, 2018
Guoru Ding, Yutao Jiao, Yulong Zou
exaly  

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