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» Structure learning of Bayesian networks using constraints
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SAC
2009
ACM
15 years 11 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
GAMESEC
2010
136views Game Theory» more  GAMESEC 2010»
15 years 2 months ago
Effective Multimodel Anomaly Detection Using Cooperative Negotiation
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
Alberto Volpatto, Federico Maggi, Stefano Zanero
BMCBI
2006
105views more  BMCBI 2006»
15 years 4 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 5 months ago
Self-adaptive constructivism in Neural XCS and XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull, Pier Luca Lanzi
SG
2007
Springer
15 years 10 months ago
Semantic Information and Local Constraints for Parametric Parts in Interactive Virtual Construction
Abstract. This paper introduces a semantic representation for virtual prototyping in interactive virtual construction applications. The representation reflects semantic information...
Peter Biermann, Christian Fröhlich, Marc Eric...