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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

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This paper looks into improving prediction if more than one model is available: http://arxiv.org/pdf/1106.0219.pdf This is done by finding patterns between models. Might be useful. Main idea is to …
answered Sep 30 '15 by Joonatan Samuel
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Recurrent neural networks are the best suited for time-series analysis but they can be somewhat cumbersome to train in practice. You can try couple of layers of convolutions in time direction (does it …
answered Feb 28 '17 by Joonatan Samuel