Henrik Ambos

Classifying Partially Labeled Networked Data VIA Logistic Network Lasso

We apply the network Lasso to classify partially labeled data points which are characterized by high-dimensional feature vectors. In order to learn an accurate classifier from limited amounts of labeled data, we borrow statistical strength, via an intrinsic network structure, across the dataset. The…