The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
XML and other types of semi-structured data are typically represented by a labeled directed graph. To speed up path expression queries over the graph, a variety of structural inde...
Nowadays the scientific community is trying to design new techniques in the search for solving security problems in mobile agent technology. There are now some industry initiatives...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...