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Feature and case importance and confidence for imputation in computer-based reasoning systems
Feature and case importance and confidence for imputation in computer-based reasoning systems
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机译:基于计算机的推理系统的特征和案例重要性以及对归因的信心
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摘要
Techniques are provided for imputation in computer-based reasoning systems. The techniques include performing the following until there are no more cases in a computer-based reasoning model with missing fields for which imputation is desired: determining which cases have fields to impute (e.g., missing fields) in the computer-based reasoning model and determining conviction scores for the cases that have fields to impute. The techniques proceed by determining for which cases to impute data based on the conviction scores. For each of the determined one or more cases with missing fields to impute data is imputed for the missing field, and the case is modified with the imputed data. Control of a system is then caused using the updated computer-based reasoning model.
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