In our previous research we suggested an approach to maximizing agents preferences over schedules of multiple tasks with temporal and precedence constraints. The proposed approach...
We present a maintenance scheduling problem arising from semi-conductor manufacturing which is characterized by low resource contention and multiple complex objectives and prefere...
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Prepositional phrase attachment is a major cause of stru(:tural alnbiguity in natural language. Recent work has been dependent on corpus-based approaches to deal with this problem...
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...