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ECAL
2005
Springer
14 years 1 months ago
On Convergence of Dynamic Cluster Formation in Multi-agent Networks
Efficient hierarchical architectures for reconfigurable and adaptive multi-agent networks require dynamic cluster formation among the set of nodes (agents). In the absence of cen...
Mikhail Prokopenko, Piraveenan Mahendra rajah, Pet...
ESWA
2008
169views more  ESWA 2008»
13 years 7 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
SMC
2010
IEEE
276views Control Systems» more  SMC 2010»
13 years 6 months ago
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks
— Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving mul...
Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagat...
ICML
2009
IEEE
14 years 8 months ago
On primal and dual sparsity of Markov networks
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
Jun Zhu, Eric P. Xing
INFOCOM
2009
IEEE
14 years 2 months ago
Multirate Anypath Routing in Wireless Mesh Networks
—In this paper, we present a new routing paradigm that generalizes opportunistic routing in wireless mesh networks. In multirate anypath routing, each node uses both a set of nex...
Rafael P. Laufer, Henri Dubois-Ferrière, Le...