14 citations · 50 across the 20 of their papers we have counts for
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stat.ML2015★ 14 cited
Robust Semi-supervised Least Squares Classification by Implicit Constraints
Jesse H. Krijthe, Marco Loog
We introduce the implicitly constrained least squares (ICLS) classifier, a novel semi-supervised version of the least squares classifier. This classifier minimizes the squared loss…
stat.ML2015★ 1 cited
Feature-Level Domain Adaptation
Wouter M. Kouw, Jesse H. Krijthe, Marco Loog +1
Domain adaptation is the supervised learning setting in which the training and test data are sampled from different distributions: training data is sampled from a source domain, wh…
stat.ML2015
Implicitly Constrained Semi-Supervised Least Squares Classification
Jesse H. Krijthe, Marco Loog
We introduce a novel semi-supervised version of the least squares classifier. This implicitly constrained least squares (ICLS) classifier minimizes the squared loss on the labeled…