Method and apparatus for efficient threshold inference

Boots – shoes – and leggings

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

705 35, 705 36, 395 20, 364420, 364421, 364422, G06F 1760

Patent

active

057453837

ABSTRACT:
A method and apparatus for predicting whether a specified threshold is likely to be exceeded for a specified predictor, based on preexisting information about related predictors and associated outcomes. If each predictor vector has n components, and the value of the outcome associated with m such predictor vectors is known, then the present invention shows how to guess the outcome associated with another predictor vector in fewer computational steps and more accurately than any previously known method. The invention is of great use in any situation where it is useful to be able to decide between two alternatives. More generally, the invention can be applied to problems where whether to adopt one alternative or the other depends on the value of a threshold.

REFERENCES:
patent: 5444819 (1995-08-01), Negishi
patent: 5479361 (1995-12-01), Kurtberg et al.
patent: 5487001 (1996-01-01), Neff
patent: 5519605 (1996-05-01), Cawfield
patent: 5546329 (1996-08-01), Kurtsberg et al.
patent: 5568378 (1996-10-01), Wojsznis
patent: 5608620 (1997-03-01), Lundgren
patent: 5627768 (1997-05-01), Uhlmann et al.
B Boser, I Guyon, V Vapnik, "A Training Algorithm for Optimal Margin Classifiers", Proceedings of the 5th ACM Conference on Computational Learning Theory, Pittsburgh PA, 1992.
Tom Bylander, "Learning Linear Threshold Functions in the Presence of Classification Noise", Proceedings of the 7th ACM Conference on Computational Learning Theory, New Brunswick NJ, 1994.
Michael Kearns, "Efficient Noise-Tolerant Learning From Statistical Queries", Proceedings of the 25th ACM Symposium on the Theory of Computing, 1993.
HSM Coxeter, "The Functions of Schlafli and Lobatcshefsky", Twelve Geometric Essays, Feffer & Simmons, Southern Illinois Press, 1968, pp. 13-29.
K Hoffgen, H Simon, "Robust Trainability of Single Neurons", Proceedings of the 5th ACM Conference on Computational Learning Theory, Pittsburgh PA, 1992.
Nick Littlestone, "Redundant Noisy Attributes, Attribute Errors, and Linear Threshold Learning Using Winnow", Proceedings of the 4th ACM Conference on Computational Learning Theory, Santa-Cruz CA 1991.
L. Schl.ang.fli, "On the multiple integral .intg. .intg. . . . .intg. dx dy . . . dz whose limits are p.sub.1 =a.sub.1 x+b.sub.1 y+ . . . +h.sub.1 z>0,p.sub.2 >0, . . . ,p.sub.n >0, and x.sup.2 +y.sup.2 + . . . +z.sup.2 <1", Quarterly Journal of Math 3, 1860, pp. 54-68, 97-108.

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 and apparatus for efficient threshold inference 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 and apparatus for efficient threshold inference, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for efficient threshold inference will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1539060

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