In this work, we study the notion of competing campaigns in a social network. By modeling the spread of influence in the presence of competing campaigns, we provide necessary too...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Parallel discrete event simulation techniques have enabled the realization of large-scale models of communication networks containing millions of end hosts and routers. However, t...
Alfred Park, Richard M. Fujimoto, Kalyan S. Peruma...
Revelation policies in an e-marketplace differ in terms of the level of competitive information disseminated to participating sellers. Since sellers who repeatedly compete against...
Amy R. Greenwald, Karthik Kannan, Ramayya Krishnan