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Oznake: computer science;machine learning;semi-supervised learning;unsupervised learning;supervised learning
We describe a manifold learning framework that naturally accommodates supervised learning manifold learning, partially supervised learning and unsupervised clustering as particular cases. Our method chooses a function by minimizing loss subject to a manifold regularization penalty. This augmented co ...
Leto: 2008 Vir: videolectures.net
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