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The generalization ability of a learning model is one of the key elements of machine learning and data mining. Cross-validation is a common technique by which to evaluate the generalization error and to select the optimal model. However, the calculation required for sequential data processing by cross-validation is expensive in some generative models, such as hidden Markov models, stochastic context-free...
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