Is it expedient to use an ensemble of convolutional neural networks for pattern recognition tasks?
It is shown that ensemble learning may lead to accuracy gains along with reduction in training time.
I could not find the publication date of the artice as well as the academic degree of the author. So, perhaps, this method of pattern recognition is outdated now, or have shown to be ineffective in certain areas.
For the moment, are there some worthwhile advantages of using an ensemble of convolutional neural networks over using a single network in pattern recognition tasks?
Can you help to clarify the matters?