Image categorization is the problem of classifying images into one or more of several possible categories or classes, which are defined in advance. Classifiers can be trained usin...
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
The scope of implementing a virtual instructor is to achieve enhanced learning outcomes during an autonomous training (education) sessions of a human learner. Based on the evidenc...
Visual reasoning is an essential skill for many disciplines in engineering and architecture. We describe an intelligent tutoring system for visual reasoning that uses the missing ...
This paper reports developments on a best description template for teaching methods, whose descriptive elements will eventually be mapped to the elements of the IMS Learning Desig...