We study the worst-case communication complexity of distributed algorithms computing a path problem based on stationary distributions of random walks in a network G with the caveat...
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
Timing analysis for checking satisfaction of constraints is a crucial problem in real-time system design. In some current approaches, the delay of software modules is precalculate...
Jie Liu, Marcello Lajolo, Alberto L. Sangiovanni-V...