Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
—Information can change rapidly on the web. For example, news may hint some new story starts to develop. Many more news related to the original event begin to pour in the web. Im...
The popularity of current hand-held digital imaging devices such as camera phones, PDAs, camcorders has promoted the use of digital cameras to capture document images for daily in...
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...