This paper summarizes our experience with introducing feature modelling into several product lines within Siemens. Feature models are used for solving various tasks in the product ...
Christa Schwanninger, Iris Groher, Christoph Elsne...
This paper presents a novel approach to language modeling for voice search based on the idea and method of statistical machine translation. We propose an n-gram based translation ...
Designing and maintaining a huge class model is a very complex task. When an object oriented software or model becomes bigger and bigger, duplicated elements start to appear, decr...
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...