GitHub - hongyusu/RTA: The repository contains codes and some experimental data for Random Tree Approximation (RTA) algorithm, which appears in Advances in Neural Information Processing System (NIPS 2014). The algorithm is designed for multilabel classification when the output graph is not known apriori. It performs Max-margin Learning on a collection of random spanning trees sample from a complete graph connecting multiple labels. RTA also lays the foundation of performing inference on any unknown graph structures.

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Name		Name	Last commit message	Last commit date
Latest commit History 221 Commits
analysis		analysis
inference_codes		inference_codes
outputs		outputs
shared_scripts		shared_scripts
LICENSE		LICENSE
README		README

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    Copyright (C) 2014  Hongyu Su

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The repository contains codes and some experimental data for Random Tree Approximation (RTA) algorithm, which appears in Advances in Neural Information Processing System (NIPS 2014). The algorithm is designed for multilabel classification when the output graph is not known apriori. It performs Max-margin Learning on a collection of random spanning…