首页|Researchers at Northwestern University Target Machine Learning (Deforestvis: Beh aviour Analysis of Machine Learning Models With Surrogate Decision Stumps)
Researchers at Northwestern University Target Machine Learning (Deforestvis: Beh aviour Analysis of Machine Learning Models With Surrogate Decision Stumps)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Evanston, Illinois, by NewsRx correspondents, research stated, “As the complexity ofmachine learning (ML) models increases and their application in different (and critical) domains grows,there is a strong demand for more interpretable and trustworthy ML. A dir ect, model-agnostic, way tointerpret such models is to train surrogate models-s uch as rule sets and decision trees-that sufficientlyapproximate the original o nes while being simpler and easier-to-explain.”
EvanstonIllinoisUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningNorthwes tern University
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