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WSC
2000
13 years 10 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
ENGL
2007
148views more  ENGL 2007»
13 years 9 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
TC
2008
13 years 9 months ago
An Energy-Delay Tunable Task Allocation Strategy for Collaborative Applications in Networked Embedded Systems
Collaborative applications with energy and low-delay constraints are emerging in various networked embedded systems like wireless sensor networks and multimedia terminals. Conventi...
Tao Xie 0004, Xiao Qin
WWW
2008
ACM
14 years 10 months ago
Optimal marketing strategies over social networks
We discuss the use of social networks in implementing viral marketing strategies. While influence maximization has been studied in this context (see Chapter 24 of [10]), we study ...
Jason D. Hartline, Vahab S. Mirrokni, Mukund Sunda...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang