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» Structured Relation Discovery using Generative Models
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UAI
2008
15 years 1 months ago
Discovering Cyclic Causal Models by Independent Components Analysis
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Pat...
BMCBI
2008
145views more  BMCBI 2008»
14 years 12 months ago
Directed acyclic graph kernels for structural RNA analysis
Background: Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel ...
Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubum...
CN
1999
148views more  CN 1999»
14 years 11 months ago
Automatic RDF Metadata Generation for Resource Discovery
Automatic metadata generation may provide a solution to the problem of inconsistent, unreliable metadata describing resources on the Web. The Resource Description Framework (RDF [...
Charlotte Jenkins, Mike Jackson, Peter Burden, Jon...
117
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ICCS
2005
Springer
15 years 5 months ago
Evolutionary Discovery of Arbitrary Self-replicating Structures
In this paper we describe our recent use of genetic programming methods to automatically discover CA rule sets that produce self-replication of arbitrary given structures. Our init...
Zhijian Pan, James A. Reggia
PAKDD
2005
ACM
103views Data Mining» more  PAKDD 2005»
15 years 5 months ago
Subgroup Discovery Techniques and Applications
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
Nada Lavrac