The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our work over the last ten years in th...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
This paper discusses the Betty’s Brain system and our ongoing work on developing a suite of tools that assist students and teachers in classroom learning in science domains. We ...
John Wagster, Henry Kwong, Gautam Biswas, Daniel S...