In a Model-Driven Development context (MDE), model transformations allow memorizing and reusing design know-how, and thus automate parts of the design and refinement steps of a so...
Erwan Brottier, Franck Fleurey, Jim Steel, Benoit ...
In this paper we propose that a metaphor can be used to represent domains that are not easily quantifiable. The metaphor then can be used as an interface to communicate informatio...
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
Wavelet domain statistical modeling of images has focused on modeling the peaked heavy-tailed behavior of the marginal distribution and on modeling the dependencies between coeffi...
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...