Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest
نویسندگان
چکیده
منابع مشابه
Graph-Based Semi-Supervised Learning
While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in ...
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ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2020
ISSN: 1662-5196
DOI: 10.3389/fninf.2020.601829