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CIDM
2007
IEEE
14 years 1 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner
KES
2008
Springer
13 years 7 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 20 days ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
GCC
2007
Springer
14 years 1 months ago
Data Persistence in Structured P2P Networks with Redundancy Schemes
Data service is the principle application in structured P2P networks. And in many cases, we need the data to persist for a long time. So how to persist the data service and how lo...
Hongxing Li, Guihai Chen
INFOCOM
2006
IEEE
14 years 1 months ago
On the Potential of Structure-Free Data Aggregation in Sensor Networks
— Data aggregation protocols can reduce the cost of communication, thereby extending the lifetime of sensor networks. Prior work on data aggregation protocols has focused on tree...
Kai-Wei Fan, Sha Liu, Prasun Sinha