In the quest to find instructional approaches that benefit student learning, engagement, and retention, evidence suggests providing students with hands-on practice is a worthwhile...
Kristy Elizabeth Boyer, Robert Phillips, Michael D...
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
By expanding the teaching styles used in computer science classrooms, we can expand the audience of students that enjoy and excel in technology. Rather than focusing on major curr...
The under-representation of women in computer and information science (CIS) has created a crisis in availability of qualified CIS professionals and diversity of perspectives. Many...
Mary Beth Rosson, John M. Carroll, Dejin Zhao, Tim...
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...