Spurred by a range of potential applications, there has been a growing body of research in computational models of human emotion. To advance the development of these models, it is...
Complex model editing activities are frequently performed to realize various model evolution tasks (e.g., model scalability, weaving aspects into models, and model refactoring). In...
Yu Sun, Jeff Gray, Christoph Wienands, Michael Gol...
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time wind...
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...