This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
Complex multi-dimensional datasets are now pervasive in science and elsewhere in society. Better interactive tools are needed for visual data exploration so that patterns in such ...
Cynthia Sims Parr, Bongshin Lee, Benjamin B. Beder...
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
The purpose of this paper is threefold. First, we study the evolution of the web based on data available from an earlier snapshot of the web and compare the results with those pre...
Wei-Tsen Milly Chiang, Markus Hagenbuchner, Ah Chu...