Merchant & Gould
Combiner training and evaluation with random data partition
Available training data is randomly data partitioned to generate a training data set for training base modules of a pattern recognition system and a distinct tune data set for training the combiner of the system. The process can be repeated with randomly generated data sets each time. After the combiner is trained, it can be evaluated employing another random partitioning of the training data to a training data set for training new set of base modules and a distinct test data set for evaluating the combiner providing reliable statistical evaluation of the combined system without the need of a standalone test set.
Microsoft Corporation
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Qi
Zhang