It is recognized that many evaluation metrics of machine translation in use that focus on surface word level suffer from their lack of tolerance of linguistic variance, and the in...
—Relevance feedback(RF) has been proved to be an effective way to improve the precision and recall of 3D model retrieval. However, the existing RF approaches do not consider whic...
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Value prediction is a relatively new technique to increase the Instruction Level Parallelism (ILP) in future microprocessors. An important problem when designing a value predictor...
Bart Goeman, Hans Vandierendonck, Koenraad De Boss...