59 search results - page 7 / 12 » Initial-population bias in the univariate estimation of dist... |
INFOCOM
2007
IEEE
15 years 4 months ago
2007
IEEE
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
103
click to vote
NIPS
2008
14 years 11 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
PODC
2000
ACM
15 years 1 months ago
2000
ACM
We present an approach for merging message streams from producers distributed over a network, using a deterministic algorithm that is independent of any nondeterminism of the syst...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
100
click to vote
IMC
2006
ACM
15 years 3 months ago
2006
ACM
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...