The phrase "age attributes" is correct and usable in written English.
It can be used in contexts discussing characteristics or qualities associated with a person's age, such as in demographics or psychology.
Example: "The study focused on the age attributes of participants to analyze how age influences behavior and decision-making."
Alternatives: "age characteristics" or "age-related traits".
Jack Mello, a spokesman for Rapp Collins, confirmed a report of the closing in the online edition of Advertising Age, attributing it to a need to improve efficiency.
Ms. Bauer, who confirmed a report of the closing in the online edition of Advertising Age, attributed the decision to "the dot-com demise and other clients cutting way back".
A spokeswoman at Dow Jones, Brigitte Trafford, confirmed a report of the change this week in Advertising Age, attributing the move to a decision to scale back advertising for the newspaper in 2003 to focus on trade publications.
His love of fashion was evident at an early age, attributed in part to his fashion-conscious mother, and he was reportedly sketching designs before he was 12 years of age.
So the semi-equivalency is measured by grouping Sex, and Edu attributes, while Age attribute is anonymized as per interval.
In case of the "age" attribute it is practically impossible to perform a similar procedure, as a human cannot estimate the age value from a face image.
The age attribute is used through the information provided in the data set, such as "20, early" (age range from 20 to 25 years old) and "20, late" (age range from 26 to 30).
The basic idea of cumulative features is as follows: using support vector regression (SVR) [29]; using the idea of cumulative features [4] as the source data for the SVR; using a two-stage scheme of determining the "age" attribute [8].
Based on an analysis of various approaches to age classification by face images using regression analysis, the following action sequence that combines the best of currently available ideas is proposed: using support vector regression (SVR) [29]; using the idea of cumulative features [4] as the source data for the SVR; using a two-stage scheme of determining the "age" attribute [8].
