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Québec Nickel Corp. (“QNI” or the “Company”) is pleased to report the results from an Artificial Intelligence (“AI”) nickel-sulphide-focused targeting exercise at the Company’s Ducros claims which has recently been completed by ALS GoldSpot Discoveries.
Québec Nickel Corp. ; class='js-l-obf link link--blue'
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore the usage of low-confidence samples. In this article, we aim to utilize low-confidence samples in a novel way with our proposed mutex-based consistency regularization, namely MutexMatch. Specifically, the high-confidence samples are required to exactly predict “what it is” by the conventional true-positive classifier (TPC), while low-confidence samples are employ...