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How are QA teams using machine learning to predict test failures in real time?

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Fentanyl or phony? Machine learning algorithm learns to pick out opioid signatures

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
IEEE

Privacy-Preserving Decision Tree Classification Using Homomorphic Encryption in IoT Big Data Scenarios

Abstract: To effectively address the issue of privacy-preserving decision tree classification services in IoT big data scenarios, this study combines decision tree classification models with ...
IEEE

MOCT: a Multi-class Oblique Tree Algorithm for Synergistic Drug Combination Prediction

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...