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CISS
2008
IEEE
14 years 3 months ago
Peer-to-Peer utility maximization
—In this paper, we study the problem of utility maximization in Peer-to-Peer (P2P) systems, in which aggregate utilities are maximized by running distributed algorithms on P2P no...
Minghua Chen, Sudipta Sengupta, Miroslav Ponec, Ph...
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 17 days ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh
NECO
2010
103views more  NECO 2010»
13 years 7 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
CORR
2008
Springer
155views Education» more  CORR 2008»
13 years 8 months ago
Weighted Sum Rate Optimization for Cognitive Radio MIMO Broadcast Channels
In this paper, we consider a cognitive radio (CR) network in which the unlicensed (secondary) users are allowed to concurrently access the spectrum allocated to the licensed (prim...
Lan Zhang, Yan Xin, Ying-Chang Liang
SIGMOD
2010
ACM
223views Database» more  SIGMOD 2010»
14 years 1 months ago
Finding maximal cliques in massive networks by H*-graph
Maximal clique enumeration (MCE) is a fundamental problem in graph theory and has important applications in many areas such as social network analysis and bioinformatics. The prob...
James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey X...