Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
The manual adaptation of conceptual models in general and reference models in particular is a time consuming and error prone task, which has to be carefully conducted. The configur...
In this paper we address the issue of making a program reversible in terms of spatial complexity. Spatial complexity is the amount of memory/register locations required for perfor...
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
As the number of transactions in E-market places is growing, more and more product information and product reviews are posted on the Internet. Because customers want to purchase go...