The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
We address several challenges for applying statistical dialog managers based on Partially Observable Markov Models to real world problems: to deal with large numbers of concepts, ...
Sebastian Varges, Giuseppe Riccardi, Silvia Quarte...
As virtual worlds evolve, so does the visual complexity and customizability of the avatars inside the worlds. In virtual worlds such as Second Life, prospering virtual fashion ind...
Jeffrey Bardzell, Tyler Pace, Laura Brunetti, Qian...