A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
This work investigates supervised word alignment methods that exploit inversion transduction grammar (ITG) constraints. We consider maximum margin and conditional likelihood objec...
Aria Haghighi, John Blitzer, John DeNero, Dan Klei...
This paper describes a novel algorithm for activity coordination in multiagent systems that combines joint planning and joint learning. The basic idea underlying this algorithm is...
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
This survey studied the expectations of Software Engineering graduate students who took an HCI course, regarding the interaction of engineers and HCI practitioners in their future...