منابع مشابه
The Self-Supervising Machine
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We introduce a framework to leverage knowledge acquired from a repository of (heterogeneous) supervised datasets to new unsupervised datasets. Our perspective avoids the subjectivity inherent in unsupervised learning by reducing it to supervised learning, and provides a principled way to evaluate unsupervised algorithms. We demonstrate the versatility of our framework via simple agnostic bounds...
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ژورنال
عنوان ژورنال: American Journal of Public Health and the Nations Health
سال: 1937
ISSN: 0002-9572
DOI: 10.2105/ajph.27.8.817