Learning parameters of Bayesian network using uncertain evidence
Number of patents in Portfolio can not be more than 2000
United States of America
Stats
-
Sep 17, 2024
Grant Date -
N/A
app pub date -
Dec 1, 2020
filing date -
Dec 1, 2020
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
A method, system, and computer program product for learning parameters of Bayesian network using uncertain evidence, the method comprising: receiving input comprising graph representation and at least one sample of a Bayesian network, the graph comprising plurality of nodes representing random variables and plurality of directed edges representing conditional dependencies, wherein each of the at least one sample comprising for each node a value selected from the group consisting of: a known value; an unknown value; and an uncertain value; and applying on the input a Bayesian network learning process configured for calculating estimates of conditional probability tables of the Bayesian network using probabilities inferred by applying on the input a Bayesian network uncertain inference process configured for performing inference in a Bayesian network from uncertain evidence.
First Claim
Other Claims data not available
Family
International Classification(s)
- 2020 Application Filing Year
- G06N Class
- 17381 Applications Filed
- 9288 Patents Issued To-Date
- 53.44 % Issued To-Date
Cited Art Landscape
Patent Citation Ranking
- 0 Citation Count
- G06N Class
- 0 % this patent is cited more than
- 1 Age
Maintenance Fees
| Fee | Large entity fee | small entity fee | micro entity fee | due date |
|---|---|---|---|---|
| 3.5 Year Payment | $1600.00 | $800.00 | $400.00 | Mar 17, 2028 |
| 7.5 Year Payment | $3600.00 | $1800.00 | $900.00 | Mar 17, 2032 |
| 11.5 Year Payment | $7400.00 | $3700.00 | $1850.00 | Mar 17, 2036 |