Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
The estimation of productivity rates in cyclic construction processes is a difficult, but essential task in the planning of construction projects. The conventional method--a calcu...
— With the expansion of cloud-based services, the question as to how to control usage of such large distributed systems has become increasingly important. Load balancing (LB), an...
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
Increase in system level modeling has given rise to a need for efficient functional validation of models above cycle accurate level. This paper presents a technique for comparing...