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Showing 1 to 3 of 3 for “"Model coverage"”.
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Using redundancy to improve security and testing
… and automatic testing. CrowdBlaze constructs a model of the app using static analysis and explore it first with automatic testing. Users recruited through crowdsourcing help improve model coverage by providing inputs that are too complex to generate during automatic testing. By switching between …
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Contributions to evaluation of machine learning models. Applicability domain of classification models
… problems. The performance of machine learning models depends on algorithms and the data. Moreover, learning algorithms create a model of reality through learning and testing with data processes, and their performance shows an agreement degree of their assumed model with reality. ML algorithms …
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Contributions to evaluation of machine learning models. Applicability domain of classification models
… problems. The performance of machine learning models depends on algorithms and the data. Moreover, learning algorithms create a model of reality through learning and testing with data processes, and their performance shows an agreement degree of their assumed model with reality. ML algorithms …