In this paper, we present an extensible approach to the adaptation of Web information delivery according to different and possibly heterogeneous contexts. The approach is based o...
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-...
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
A number of research teams are working to organize personalized access to the modern repositories of educational resources. The goal of personalized access is to help students loc...
Peter Brusilovsky, Jae-wook Ahn, Tibor Dumitriu, M...
Nowadays, every public or private company has to provide the access to their services through Internet. Unfortunately, the access channels and devices increase both in numbers and ...
Nicola Capuano, Gaetano Rocco De Maio, Pierluigi R...