We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Computational phonology studies sound patterns in the world’s languages from a computational perspective. This article shows that the similarities between different generative t...
Traditionally, optimizers are “programmed” to optimize queries following a set of buildin procedures. However, optimizers should be robust to its changing environment to gener...
As business and enterprises generate and exchange XML data more often, there is an increasing need for searching and querying XML data. A lot of researches have been done to match ...