A robust multiple kernel learning algorithm adapted for samples with missing kernels and group variance to predict railway points failures, claimed to outperform state-of-the-art methods on Sydney Trains data.
JMLR 9, Nov (2008), 2491–2521
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Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points
A robust multiple kernel learning algorithm adapted for samples with missing kernels and group variance to predict railway points failures, claimed to outperform state-of-the-art methods on Sydney Trains data.