Optimizing ranking for response prediction via triplet-wise lear... ... whether to bid and calculates the bid price according to its prediction. When given a fixed advertising budget, in order to maximize the ... and then more clicks than non-clicks. In this paper, we consider response prediction problem as a ranking probl
Prediction of Antifungal Peptides by Deep Learning with Characte... ... a method, called AFPDeep,.which only uses peptide sequences as input, without calculating any features by human intervention for the prediction.of AFPs. First, an embedding layer is used to automatically code the sequence and to learn a dense vector ...
Improving the transfer ability of prediction models for electron... ... of electronic noses (e-noses). It aims at making the prediction model trained on one device transferable to other devices, ... collection is high. In this paper, the transfer ability of prediction models is improved in two steps. First, windowed piecewise ...
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