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...
We investigate a state feedback Linear Quadratic Regulation problem with a constraint on the number of actuation signals that can be updated simultaneously. Such a constraint aris...
We present an overview of the WHYNET (Wireless HYbrid NETwork) testbed, currently being developed for realistic and scalable evaluation of next-generation wireless network protoco...
Junlan Zhou, Zhengrong Ji, Maneesh Varshney, Zhigu...
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
—The problem of designing high capacity and high bit rate IP-over-WDM networks, which can provide uninterrupted service in the presence of network equipment failures, continues t...
Muhammad S. Javed, Krishnaiyan Thulasiraman, Guoli...