The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Fa...
This paper develops connections between objective Bayesian epistemology--which holds that the strengths of an agent's beliefs should be representable by probabilities, should...
We propose a new focus in language design where languages provide constructs that not only describe the computation of results, but also produce explanations of how and why those r...
In this paper, we, as well as Eskin, Lee, Stolfo [7] propose a method of prediction model. In their method, the program was characterized with both the order and the kind of system...
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...