# InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification

@article{Matchev2020InClassNI, title={InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification}, author={Konstantin T. Matchev and Prasanth Shyamsundar}, journal={Machine Learning: Science and Technology}, year={2020}, volume={3} }

Conditional independence mixture models (CIMMs) are an important class of statistical models used in many fields of science. We introduce a novel unsupervised machine learning technique called the independent classifier networks (InClass nets) technique for the nonparameteric estimation of CIMMs. InClass nets consist of multiple independent classifier neural networks (NNs), which are trained simultaneously using suitable cost functions. Leveraging the ability of NNs to handle high-dimensional…

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