We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Simulation has been the de facto standard method for performance evaluation of newly proposed ideas in computer architecture for many years. While simulation allows for theoretica...
Richard Hough, Praveen Krishnamurthy, Roger D. Cha...
In this paper we specify an operational run-time semantics of Assignment Featherweight Java -- a minimal subset of Java with assignments -- with around advice, using graph transfo...