In this paper, we introduce a new restricted Bayesian network classifier that extends naive Bayes by relaxing the conditional independence assumptions, and show that it is partly ...
Producing Intelligent Tutoring Systems (ITSs) is a labor-intensive process, requiring many different skill sets. A major component of an ITS, the cognitive model, has historically...
Stephen Blessing, Stephen B. Gilbert, Steven Ritte...
Recent work in lexical resource construction has recognized the importance of contextualizing the knowledge in existing resources and ontologies with information derived from text...
Anna Rumshisky, Patrick Hanks, Catherine Havasi, J...
The success of TURING Test technologies for system validation depends on the quality of the human expertise behind the system. As an additional source of human experts' valid...
Context can be seen as a paradigm aiming to improve user interaction with software. For Web applications in particular, the issues of content explosion and technological constrain...
In this paper, three approaches are presented for generating and validating sequences of different size neural nets. First, a growing method is given along with several weight ini...
Pramod Lakshmi Narasimha, Walter Delashmit, Michae...
In this paper, we propose a novel framework for extractive summarization. Our framework allows the summarizer to adapt and improve itself. Experimental results show that our summa...
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
We present a hill-climbing algorithm to solve planning problems with temporal uncertainty. First an optimistic plan that is valid when all actions complete quickly is found. Then ...