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An Improved Classifier Chain Ensemble For Multi-Dimensionalclassification With Conditional Dependence, Joseph Ethan Heydorn
An Improved Classifier Chain Ensemble For Multi-Dimensionalclassification With Conditional Dependence, Joseph Ethan Heydorn
Theses and Dissertations
We focus on multi-dimensional classification (MDC) problems with conditional dependence, which we call multiple output dependence (MOD) problems. MDC is the task of predicting a vector of categorical outputs for each input. Conditional dependence in MDC means that the choice for one output value affects the choice for others, so it is not desirable to predict outputs independently. We show that conditional dependence in MDC implies that a single input can map to multiple correct output vectors. This means it is desirable to find multiple correct output vectors per input. Current solutions for MOD problems are not sufficient because they …