Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
A general game player is a system that understands the rules of unknown games and learns to play these games well without human intervention. A major challenge for research in Gen...
Multimedia documents are increasingly used which involve to develop model to that kind of data. In this paper we present a multimedia model which combines textual and visual inform...