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Stochastic Variational Methods in Generalized Hidden Semi-Markov Models to Characterize Functionality in Random Heteropolymers
Recent years have seen substantial advances in the development of biofunctional materials using synthetic polymers.
Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate
We show that classification decisions made by simply sorting objects across classes in descending order of their true mLPRs can, in theory, ensure the class hierarchy and lead to the maximization of CATCH, an objective function we introduce that is related to the area under a hit curve.
HierLPR: Decision making in hierarchical multi-label classification with local precision rates
In this article we propose a novel ranking algorithm, referred to as HierLPR, for the multi-label classification problem when the candidate labels follow a known hierarchical structure.
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