In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled examples known as label noise can derail the performance of a model, especially those like support vector machines (SVMs) that rely on a few key data points to make decisions.
Innovative detection method makes AI smarter by cleaning up bad data before it learns
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
