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» Representing and generating uncertainty effectively
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BMCBI
2011
14 years 6 months ago
Investigating the effect of paralogs on microarray gene-set analysis
Background: In order to interpret the results obtained from a microarray experiment, researchers often shift focus from analysis of individual differentially expressed genes to an...
Andre J. Faure, Cathal Seoighe, Nicola J. Mulder
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 2 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
ILP
1999
Springer
15 years 3 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller
JMLR
2002
138views more  JMLR 2002»
14 years 10 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
WSC
2000
15 years 11 days ago
Circumstance descriptors: a method for generating plan modifications and fragmentary orders
Circumstance Descriptors are offered as a way to organize spatial and other military knowledge that may be difficult to formulate, particularly the kinds of details that are most ...
John B. Gilmer Jr.