A hybrid isotonic separation training algorithm with correlation-based isotonic feature selection for binary classification

Isotonic separation is a classification technique which constructs a model by transforming the training set into a linear programming problem (LPP). It is computationally expensive to solve large-scale LPPs using traditional methods when data set grows. This paper proposes a hybrid binary classifica...

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