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ICML
2007
IEEE
14 years 8 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
TCOM
2010
133views more  TCOM 2010»
13 years 6 months ago
Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies
Abstract——This paper considers an uplink time division multiple access (TDMA) cognitive radio network where multiple cognitive radios (secondary users) attempt to access a spect...
J. Huang, V. Krishnamurthy
DMSN
2004
ACM
14 years 1 months ago
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
Boulat A. Bash, John W. Byers, Jeffrey Considine
IDEAS
2006
IEEE
180views Database» more  IDEAS 2006»
14 years 1 months ago
SURCH: Distributed Aggregation over Wireless Sensor Networks
In this paper, we present SURCH, a novel decentralized algorithm for efficient processing of queries generated in sensor networks. Unlike existing techniques, SURCH is fully dist...
Xingbo Yu, Sharad Mehrotra, Nalini Venkatasubraman...
COMSWARE
2008
IEEE
14 years 2 months ago
Community based search on power law networks
—In this paper, we have presented a novel algorithm for searching Peer-to-Peer (P2P) networks which forms power law topology. It is completely decentralized in nature and hence i...
Tathagata Das, Subrata Nandi, Niloy Ganguly