Method and apparatus for managing recommendation models
US-9218605-B2 · Dec 22, 2015 · US
Collaborative targeted maximum likelihood learning
US8996445B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8996445-B2 |
| Application number | US-201013263252-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 7, 2010 |
| Priority date | Apr 7, 2009 |
| Publication date | Mar 31, 2015 |
| Grant date | Mar 31, 2015 |
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Abstract
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A method is provided comprising: determining one or more initial distribution estimators of a true probability distribution; determining for each series of estimators of a nuisance parameter; generating candidate targeted estimators of the probability distribution for a targeted feature using an iterative modification of the initial distribution estimator(s) designed to reduce bias in the estimate of the target feature with respect to the initial distribution estimator, based on the series of estimators and the targeted feature; selecting one of the candidate estimators as an estimator for the true probability distribution for the targeted feature; and applying a mapping to the estimator for the true probability distribution or relevant portion thereof to obtain an estimated value for the targeted feature.
First claim
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What is claimed is: 1. A method comprising: determining one or more initial distribution estimators of a true probability distribution; determining a series of estimators of a nuisance parameter; generating targeted candidate estimators of the probability distribution for a targeted feature using an iterative modification of the one or more initial distribution estimators based on the series of estimators and the targeted feature; and selecting one of the candidate estimator…
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- G06N99/005Primary
Physics · mapped topic
- G06N20/00Primary
Physics · mapped topic
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Frequently asked questions
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- What does patent US8996445B2 cover?
- A method is provided comprising: determining one or more initial distribution estimators of a true probability distribution; determining for each series of estimators of a nuisance parameter; generating candidate targeted estimators of the probability distribution for a targeted feature using an iterative modification of the initial distribution estimator(s) designed to reduce bias in the estim…
- Who is the assignee on this patent?
- Van Der Laan Mark, Gruber Susan, Univ California
- What technology area does this patent fall under?
- Primary CPC classification G06N99/005. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 31 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).