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» Toward network data independence
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115
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IJCNN
2000
IEEE
15 years 4 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
110
Voted
IJAR
2007
130views more  IJAR 2007»
15 years 19 days ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
113
Voted
CORR
2010
Springer
122views Education» more  CORR 2010»
14 years 10 months ago
Two-Way Transmission Capacity of Wireless Ad-hoc Networks
The transmission capacity of an ad-hoc network is the maximum density of active transmitters in an unit area, given an outage constraint at each receiver for a fixed rate of transm...
Rahul Vaze, Kien T. Truong, Steven Weber, Robert W...
99
Voted
ICDCS
2009
IEEE
15 years 10 months ago
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
Anna Förster, Amy L. Murphy
106
Voted
SDM
2009
SIAM
125views Data Mining» more  SDM 2009»
15 years 10 months ago
Identifying Unsafe Routes for Network-Based Trajectory Privacy.
In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
Aris Gkoulalas-Divanis, Mohamed F. Mokbel, Vassili...