One area in which artificial neural networks (ANNs) may strengthen NLP systems is in the identification of words under noisy conditions. In order to achieve this benefit when spel...
—Controlling the flow of materials inside job-shops involves several decisions such as the acceptance or rejection of an incoming order, the order’s due date definition, the re...
Frequent sub-graph mining entails two significant overheads. The first is concerned with candidate set generation. The second with isomorphism checking. These are also issues with ...
It is challenging to support the timeliness of realtime data service requests in data-intensive real-time applications such as online auction or stock trading, while maintaining t...
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...