B. Malar

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Isotonic separation is a supervised machine learning technique where classification is represented as a linear programming problem (LPP) with an objective of minimizing the number of misclassifications. It is computationally expensive to solve the LPP using traditional methods when the dataset grows. Evolutionary isotonic separation (EIS), a hybrid(More)
In supervised machine learning, a training set containing labeled instances is taken by a learning algorithm to construct a model that is subsequently used for determining the class label of new instances. Isotonic separation is a supervised machine learning technique in which classification is represented as a Linear Programming Problem (LPP) with an(More)
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