In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
Decisions regarding major urban transportation projects and land use policies are frequently political and controversial, as well as having significant economic, social, and envir...
Travis Kriplean, Alan Borning, Paul Waddell, Chris...
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
- This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models. We classify clou...
Victor Chang, David A. Bacigalupo, Gary Wills, Dav...