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ICDM
2009
IEEE
122views Data Mining» more  ICDM 2009»
13 years 11 months ago
Detecting and Interpreting Variable Interactions in Observational Ornithology Data
In this paper we demonstrate a practical approach to interaction detection on real data describing the abundance of different species of birds in the prairies east of the souther...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Wes...
UAI
2001
13 years 6 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
AAAI
2011
12 years 5 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
AIA
2006
13 years 6 months ago
Synthesizing Diagnostic Explanations from Monitoring Data in Multi-Robot Systems
The paper discusses the issues concerning monitoring and diagnosis of a multi-robot system involving a team of mobile robots providing services in an environment which is partiall...
Roberto Micalizio, Pietro Torasso, Gianluca Torta
TIT
2010
125views Education» more  TIT 2010»
12 years 11 months ago
Target detection via network filtering
A method of `network filtering' has been proposed recently to detect the effects of certain external perturbations on the interacting members in a network. However, with larg...
Shu Yang, Eric D. Kolaczyk