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» Feature Selection for Inductive Generalization
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CIKM
2010
Springer
13 years 5 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
ICML
1991
IEEE
13 years 11 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
IIS
2001
13 years 9 months ago
The Development of the AQ20 Learning System and Initial Experiments
: Research on a new system implementing the AQ learning methodology, called AQ20, is briefly described, and illustrated by initial results from an experimental version. Like its pr...
Guido Cervone, Liviu Panait, Ryszard S. Michalski
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 1 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
CADE
1994
Springer
14 years 1 days ago
Pi: an Interactive Derivation Editor for the Calculus of Partial Inductive Definitions
Pi is a system for the interactive construction and editing of formal derivations in the calculus of finitary partial inductive definitions. This calculus can be used as a logical ...
Lars-Henrik Eriksson