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INFOCOM
2009
IEEE
16 years 1 months ago
Budget-Based Self-Optimized Incentive Search in Unstructured P2P Networks
—Distributed object search is the primary function of Peer-to-Peer (P2P) file sharing system to locate and transfer the file. The predominant search schemes in unstructured P2P...
Yi Hu, Min Feng, Laxmi N. Bhuyan, Vana Kalogeraki
INFOCOM
2009
IEEE
16 years 1 months ago
Distributed Opportunistic Scheduling With Two-Level Channel Probing
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
P. S. Chandrashekhar Thejaswi, Junshan Zhang, Man-...
TSP
2010
15 years 1 months ago
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are distributed players competing for independent arms. Each arm, when played, offers i.i.d. reward a...
Keqin Liu, Qing Zhao
SIGIR
2004
ACM
15 years 11 months ago
Knowing Where to Search: Personalized Search Strategies for Peers in P2P Networks
Optimizing and focusing search and results ranking in P2P networks becomes more and more important with the increasing size of these networks. Even though a few approaches have al...
Paul-Alexandru Chirita, Wolfgang Nejdl, Oana Scurt...
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
16 years 29 days ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer