889 search results - page 123 / 178 » Observational Learning in Random Networks |
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
TSP
2011
13 years 4 months ago
2011
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
INFOCOM
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— We consider the scenario of distributed data aggregation in wireless sensor networks, where each sensor can obtain and estimate the information of the whole sensing fi...
JMLR
2011
13 years 4 months ago
2011
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
LISA
2000
13 years 10 months ago
2000
Most denial-of-service attacks are characterized by a flood of packets with random, apparently valid source addresses. These addresses are spoofed, created by a malicious program ...