Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning

Abstract

We propose a general approach to modeling semisupervised learning (SSL) algorithms. Specifically, we present a declarative language for modeling both traditional supervised classification tasks and many SSL heuristics, including both well-known heuristics such as co-training and novel domainspecific heuristics. In addition to representing individual SSL… (More)
DOI: 10.24963/ijcai.2017/201

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