In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
Although animated pedagogical agents are frequently found in intelligent tutoring systems and interactive learning environments, their effect on users' attitudes and learning ...
Judy Robertson, Beth Cross, Hamish Macleod, Peter ...
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...
This paper presents a pre-orientation program for incoming college students, Active Citizenship through Technology (ACT), that engaged students in civic dialogue early in their aca...