The prediction of express delivery sequence, i.e., modeling and estimating the volumes daily incoming outgoing parcels for delivery, is critical online business, logistics, positive customer experience, specifically resource allocation optimization promotional activity arrangement. A precise estimate consumer requests has to involve sequential factors such as shopping behaviors, weather conditi...

We implement two deep architectures for the acousticarticulatory inversion mapping problem: a deep neural network and a deep trajectory mixture density network. We find that in both cases, deep architectures produce more accurate predictions than shallow architectures and that this is due to the higher expressive capability of a deep model and not a consequence of adding more adjustable paramet...

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...