Item selection is a key problem in electronic guidebook design. Many systems do not apply so-called “context-awareness” technologies to infer user interest, placing the entire...
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
Many people believe that emotions and subjective feelings are one and the same and that a goal of human-centered computing is emotion recognition. The first belief is outdated; the...
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...