An investigation of neural network ensemble methods for posterior probability estimation

@inproceedings{Berardi1998AnIO,
  title={An investigation of neural network ensemble methods for posterior probability estimation},
  author={Victor L. Berardi and Eddy Patuwo and Michael Y. Hu},
  year={1998}
}
Many neural network applications have been successfully demonstrated in the classification problem area. One reason for their popularity stems from the fact that neural networks can estimate the posterior probabilities associated with each object belonging to the appropriate groups. Posterior probabilities are of central interest in a classification problem because they provide an optimal classification basis when new information is obtained. Therefore, the accuracy of the posterior probability… CONTINUE READING

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