Feature regulation for hierarchical decision learning

Details Feature regulation for hierarchical decision learning Feature regulation for hierarchical decision learning

2007-06-19

2007-06-19

Knight, Anthony (Department: 2121)

Data processing: artificial intelligence

Machine learning

C706S025000, C382S159000

Reexamination Certificate

active

10746169

ABSTRACT:
A feature regulation application method for hierarchical decision learning systems receives feature regulation training data and invokes a plurality of hierarchical decision learning to create feature subset information output. The method receives learning data and uses the feature subset information and the learning data to create feature subset learning data output. The hierarchical decision learning method uses the feature subset learning data to create hierarchical decision output. The feature regulation method also outputs feature ranking information that can be used to create hierarchical decision output. The invention provides a computationally feasible method for feature selection that considers the hierarchical decision learning systems used for decision making.

REFERENCES:
patent: 6212532 (2001-04-01), Johnson et al.
patent: 6941288 (2005-09-01), Lee et al.
patent: 7031948 (2006-04-01), Lee
Almuallim H. and Dietterich T.G., “Learning boolean concepts in the presence of many irrelevant features”, Artifical Intelligence, 69(1-2):279-306, 1994.
Kononenko, I “Estimating attributes: Analysis and extensions of RELIEF”, in Raedt Bergadano, ed, Proc. Euro Conf. Machine Learning, pp. 171-182, Italy, 1994, Springe-Verlag.
Kohavi R. and John G. “Wrappers for feature subset selection”, Artificial Intelligence, 97(1-2), 1997.
Tsamardinos I. and Aliferis C.F. “Towards Principled Feature Selection: Relevancy, Filters, and Wrappers”, in 9th Inte. Workshop on Al and Statistics. 2003. Key West, Florida.
Cardie C. “Using Decision Trees to Improve Case-Based Learning”, In P. Utgoff, editor, Proc. 10th Inter. Conf. on Machine Learning, pp. 25-32, Amherst, MA Morgan Kaufmann, 1993.

Affiliated with

Also associated with

Rating

Feature regulation for hierarchical decision learning does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Feature regulation for hierarchical decision learning, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Feature regulation for hierarchical decision learning will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3807056