Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
Blogging can be used to enhance education by encouraging reflective practice. We present a study in which a final year HCI course was constructed around regular blogging activity....
We present two new methods for obtaining generalization error bounds in a semi-supervised setting. Both methods are based on approximating the disagreement probability of pairs of ...
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...