Systems, apparatus, and methods for generating prediction sets based on a known set of features
US9524469B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2015 |
| Grant date | Dec 20, 2016 |
| Priority date | — |
| Expiry date | Dec 14, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0241
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An individual having a plurality of first features and a second characteristic is identified. A plurality of second features associated with a second characteristic is determined. For each first feature among the plurality of first features, a respective probability distribution indicating, for each respective second feature, a probability that a person having the respective second feature has the first feature, is determined, thereby generating a plurality of probability distributions. A probabilistic classifier is used to combine the plurality of probability distributions, thereby generating a merged probability distribution. A Monte Carlo method is used to generate a prediction set based on the merged probability distribution, the prediction set including a plurality of prediction values for the second characteristic of the individual, each respective prediction value being associated with one of the plurality of second features. The prediction set is stored in a memory. The probabilistic classifier may include a Naïve-Bayes method. Prediction sets may be generated for each of a plurality of individuals, and used to predict a feature associated with a group. For example, an adve…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.