Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
The primary goal of the project was to understand the cultural similarities and differences in perception, adoption and usage of technology across three cultures (US, India and Ch...
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
Defining the neighborhood of an initial set of nodes is an important task in network analysis. For example, we show that the neighborhood of an initial set of brain cancer related ...