This paper describes a discussion-bot that provides answers to students’ discussion board questions in an unobtrusive and humanlike way. Using information retrieval and natural ...
Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
ion visualization is valuable in learning abstract ideas and new concepts. The existing technology for publishing online papers is lacking in terms of user interaction as well as ...
This paper suggests a discriminative approach for wavelet denoising
where a set of mapping functions (MF) are applied to the transform
coefficients in an attempt to produce a noi...
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...