Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
An organization makes a new release as new information become available, releases a tailored view for each data request, releases sensitive information and identifying information...