Probability model selection using information-theoretic...

Details Probability model selection using information-theoretic... Probability model selection using information-theoretic...

2005-11-01

2005-11-01

Paladini, Albert W. (Department: 2125)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

C705S007380

Reexamination Certificate

active

06961685

ABSTRACT:
A system and method for the discovery and selection of an optimal probability model. Probability model selection can be formulated as an optimization problem with linear order constraints and a non-linear objective function. In one aspect, an algorithm that employs an information-theoretic based approach is used in which a scalable combinatoric search is utilized as defined by an initial solution and null vectors. The theoretical development of the algorithm has led to a property that can be interpreted semantically as the weight of evidence in information theory.

REFERENCES:
patent: 6067520 (2000-05-01), Lee
patent: 6304833 (2001-10-01), Ferkinhoff et al.
patent: 6353679 (2002-03-01), Cham et al.

Affiliated with

Also associated with

Rating

Probability model selection using information-theoretic... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Probability model selection using information-theoretic..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Probability model selection using information-theoretic... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3476344