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This paper proposes a new class of randomized algorithms to incrementally compute the Google PageRank of a large-scale number of webpages. First, we reformulate the PageRank computation as a least squares (LS) problem. Motivated by a random surfer model, the LS problem is solved in a randomized incremental way. Specifically, when visiting a page, the surfer incrementally updates an estimate of the...
By means of analysis of software's usage, it can be known that the software's actual usage is just like a stochastic process, whose series of usage events are extended according to some probability distribution. If the statistical characteristics of software reliability test suite is that of the implementation in practice when customers actually use the software product, that is to say, the test process...
The quality of coverage achieved by mobile sensors depends on the velocity, mobility pattern, number of mobile sensors deployed and the dynamics of the phenomenon being sensed. The gains attained by mobile sensors over static sensors and the optimal motion strategies for mobile sensors are not well understood. In this paper we consider the following event capture problem: The events of interest arrive...
This paper deals with the mean square stabilization problem for multi-input networked systems via single packet or multiple packets transmission, where the unreliability of input channels is modeled by a multiplicative white noise. For the single packet case, the critical value (lower bound) of mean square capacity for ensuring mean square stabilization is given by adopting the bisection technique...
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