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CIKM
1997
Springer
13 years 11 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 5 months ago
A graph-theoretic approach to distributed control over networks
We consider a network of control systems connected over a graph. Considering the graph structure as constraints on the set of permissible controllers, we show that such systems ar...
John Swigart, Sanjay Lall
TVCG
2008
140views more  TVCG 2008»
13 years 7 months ago
Efficient Morse Decompositions of Vector Fields
Vector field analysis plays a crucial role in many engineering applications, such as weather prediction, tsunami and hurricane study, and airplane and automotive design. Existing ...
Guoning Chen, Konstantin Mischaikow, Robert S. Lar...
NAACL
2003
13 years 8 months ago
Rhetorical Parsing with Underspecification and Forests
We combine a surface based approach to discourse parsing with an explicit rhetorical grammar in order to efficiently construct an underspecified representation of possible discour...
Thomas Hanneforth, Silvan Heintze, Manfred Stede
JMLR
2010
129views more  JMLR 2010»
13 years 2 months ago
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...