Method for training an adaptive statistical classifier to balanc

Image analysis – Learning systems – Neural networks

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382160, 382228, 395 23, G06T 140

Patent

active

057968632

ABSTRACT:
A statistical classifier is trained in a manner to remove biasing due to unequal frequencies of unigram priors. The relative frequencies of all classes in a training set of sample patterns is determined. Training patterns are then selected from the set and skipped or repeated in dependence upon the relative frequency of the class to which they belong. In this manner, the presentation of samples is balanced across the classes.

REFERENCES:
patent: 4479574 (1984-10-01), Glier et al.
patent: 4975975 (1990-12-01), Filipski
patent: 5325445 (1994-06-01), Herbert
patent: 5544257 (1996-08-01), Bellegarda et al.
patent: 5559929 (1996-09-01), Wasserman

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method for training an adaptive statistical classifier to balanc does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for training an adaptive statistical classifier to balanc, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for training an adaptive statistical classifier to balanc will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1123195

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.