Artificial Intelligence/Bayesian Decision Theory
Bayesian Decision Theory
Imagine you have been recruited by a supermarket to do a survey of types of customers entering into their supermarket to identify their preferences, like what kind of products they buy. Let us assume the supermarket is particularly interested in identifying the differences in buying habits between men and women. The plan is to assigned "male" or "female" at the billing counter using an automated system.
Based on existing research data you determine for the first run to test against these easily identifiable properties:
- Women are usually shorter than men
- Men usually have shorter hair than women
The first parameter is relatively easy to test against; the second is more difficult due to the problems in identifying hair reliably from an image. Therefore you begin your test using just the first criterion to determine how good the results are.