interpretability


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interpretability

The suitability of imagery for interpretation with respect to answering adequately requirements on a given type of target in terms of quality and scale.
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References in periodicals archive ?
Mimic learning bridges the gap between deep and shallow models and enables interpretability. The system also mines informative patterns from raw data to enhance interpretability and learning performance.
The issue of interpretability, and by extension, explainability, is the foremost challenge to the statistical variety of AI popular today.
"Carriers are exploring machine learning methods which are intended to capture more complex relationships in the data but offer little interpretability and are not table-based structures," she noted.
This paper addresses the problem of creating a framework for interpretability for describing learner's social activity that can be estimated based on several features that can be extracted from three platforms: Twitter, blogspot and MediaWiki.
though such interpretability is of great importance and should be
However, its small size and duration limit the interpretability of the findings.
In a typical data science problem setting, users are concerned with both prediction accuracy and the interpretability of the prediction model.
In addition, these approaches are also compatible with empirical rules typically used by clinicians for diagnosis (diabetic retinopathy grading based on, for example, the number of haemorrhages present), which offers a familiar context for decisions and improves interpretability of the AI outcome.
However, adaptive operators modified the fuzzy partition in way that the order of the fuzzy sets was affected, resulting in reduced interpretability of the adapted fuzzy partition [8].