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A Novel Markov Model for Near-Term Railway Delay Prediction
We then propose a delay prediction model based on non-homogeneous Markov chains.
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification
Further, we propose the L1 norm regularized version that is beneficial for detecting potential sparsity patterns in the Hessian of the quadratic surface and reducing to the standard linear models if the data points are (almost) linearly separable.
Quadratic Surface Support Vector Machine with L1 Norm Regularization
We propose $\ell_1$ norm regularized quadratic surface support vector machine models for binary classification in supervised learning.
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