Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
A key issue in artificial intelligence lies in finding the amount of input detail needed to do successful learning. Too much detail causes overhead and makes learning prone to ove...
Abstract. Our participation at ResPubliQA 2010 was based on applying an Information Retrieval (IR) engine of high performance and a validation step for removing incorrect answers. ...
Increasingly, companies recognize that most of their important information does not exist in relational stores but in documents. For a long time, textual information has been rela...
: We perform a systematic examination on the dependence of the calculated nuclear magnetic shielding constants on the chosen geometry for a selective set of density functional meth...