Giving machine-learning systems "partial credit" during training improves image classification
Thursday, October 1, 2015 - 05:50
in Mathematics & Economics
Machine learning, which is the basis for most commercial artificial-intelligence systems, is intrinsically probabilistic. An object-recognition algorithm asked to classify a particular image, for instance, might conclude that it has a 60 percent chance of depicting a dog, but a 30 percent chance of depicting a cat.
