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NIPS
2008
15 years 5 months ago
Learning Bounded Treewidth Bayesian Networks
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
Gal Elidan, Stephen Gould
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 3 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
SIAMREV
2010
170views more  SIAMREV 2010»
14 years 10 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 8 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
ADT
2008
15 years 3 months ago
A service-oriented admission control strategy for class-based IP networks
The clear trend toward the integration of current and emerging applications and services in the Internet launches new demands on service deployment and management. Distributed serv...
Solange Rito Lima, Paulo Carvalho, Vasco Freitas