Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling
RNN Maxent is introduced, an extension of the Maxent framework that replaces the fixed feature dictionary with a neural network, specifically a Gated Recurrent Unit (GRU), trained end to end via backpropagation, differing only in that the nonlinearity is learned from data rather than fixed in advance.
Alessandro Grassi, E. Bellotto, Wassim El Azami et al.
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