– Generating LOM for learning material is a complex and tedious task to be manually completed. Therefore, the current trend is to automate this process. However, there are severa...
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
This poster reports on current work with the NSF-funded Achievement Standards Network (ASN) to support discovery of educational resources in digital libraries using conceptual grap...
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...