Predicting the behavior of physical systems is essential to both common sense and engineering tasks. It is made especially challenging by the lack of complete precise knowledge of...
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
When modifying or debugging a software system, among other tasks, developers must often understand and manipulate source code that crosscuts the system’s structure. These tasks ...
We present an approach of how to automatically extract an XML document structure from a conceptual data model that describes the content of the document. We use UML class diagrams ...