Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction

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Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction

An Information Geometric Approach to Increase Representational Power in Unsupervised Learning

SJ Luo - 2021 - ses.library.usyd.edu.au

Machine learning models increase their representational power by increasing the number of
parameters in the model. The number of parameters in the model can be increased by …

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction

An Information Geometric Approach to Increase Representational Power in Unsupervised Learning

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