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Novel Regularization Methods to Prevent Overfitting in Machine Learning Models

A single taxonomy of the new regularization methods such as adaptive regularization, information-theoretic constraints, structured sparsity, stochastic regularization and regularization at the representation level is presented and Hybrid Adaptive Information Regularization (HAIR) is suggested which is a dynamic complex...