An Extension of Semi-supervised Boosting to Multi-valued Classification Problems
نویسندگان
چکیده
منابع مشابه
Semi-Supervised Boosting for Multi-Class Classification
Most semi-supervised learning algorithms have been designed for binary classification, and are extended to multi-class classification by approaches such as one-against-the-rest. The main shortcoming of these approaches is that they are unable to exploit the fact that each example is only assigned to one class. Additional problems with extending semisupervised binary classifiers to multi-class p...
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ژورنال
عنوان ژورنال: Total Quality Science
سال: 2021
ISSN: 2189-3195
DOI: 10.17929/tqs.6.60