557 search results - page 9 / 112 » Optimization Algorithms for Large Self-Structuring Networks |
JMLR
2010
13 years 2 months ago
2010
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
ENVSOFT
2007
13 years 7 months ago
2007
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
APIN
2007
13 years 7 months ago
2007
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...