The research aim of this paper is to represent everydaylife patterns of thought like "Because I know, what you think I think ..." by a process on a machine, which is inv...
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the pr...
Gregory Vert, Anitha Chennamaneni, S. Sitharama Iy...
The rapid growth of the Internet has made computer-mediated communication popular and the use of e-negotiation systems (ENS) has attracted great attention from researchers and pra...