The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
If despite your better judgment you decide to read this article, keep in mind that it was written during the summer, and this has been the hottest summer ever. To avoid such artic...
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Recently, the opportunity of extracting structured data from the Web has been identified by a number of research projects. One such example is that millions of relational-style H...
Daisy Zhe Wang, Xin Luna Dong, Anish Das Sarma, Mi...
The proliferation of digital camera devices (stand-alone or combined with cell phones), new protocols such as MMS and the desire of people to communicate and share their experience...