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Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order Dependencies
(Springer Link, 2020-10-04)Mutual Information (MI) based feature selection methods are popular due to their ability to capture the nonlinear relationship among variables. However, existing works rarely address the error (bias) that occurs due to the ... -
A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced Data
(2020-10-04)In k Nearest Neighbor (kNN) classifier, a query instance is classified based on the most frequent class of its nearest neighbors among the training instances. In imbalanced datasets, kNN becomes biased towards the majority ... -
An Exploratory Approach to Find a Novel Metric Based Optimum Language Model for Automatic Bangla Word Prediction
(International Journal of Intelligent Systems and Applications, 2020-09-27)Word completion and word prediction are two important phenomena in typing that have intense effect on aiding disable people and students while using keyboard or other similar devices. Such auto completion technique also ...