The phrase "address imbalances" is correct and usable in written English.
It can be used in contexts where you are discussing the need to correct or manage disparities or inequalities in various situations, such as economics, social issues, or resource distribution.
Example: "The government has implemented new policies to address imbalances in wealth distribution across the country."
Alternatives: "correct disparities" or "rectify inequalities."
"If you're getting public funds you must address imbalances.
partnership can and should do to generate economic recovery, create jobs and address imbalances in the global economy.
SEOUL, South Korea — The Group of 20 major economies took initial steps to address imbalances in the global economy on Friday.
The line, available online in the fall at bergdorfgoodman.com, aims to address imbalances in skin with a blend of five herbs, like East Indian lotus.
It can produce political polarization and gridlock, splitting the political system between haves and have-nots, making it more difficult for governments to address imbalances and respond to brewing crises.
The suit, filed in Connecticut Superior Court in Stamford, contends that the league's behavior violated the Title IX prohibition of sex discrimination in education, a law normally applied to address imbalances in high school and college athletics.
"Addressing imbalanced classification in Big Data problems: current state" section includes an overview on those works that address imbalanced classification for Big Data problems.
In [51] authors extended Chi-FRBCS-BigData, a MapReduce implementation of a FRBCS made in [63], to address imbalanced Big Data.
We will analyze the strengths and weaknesses of various MapReduce [20]-based implementation of algorithms that address imbalanced data.
Among the different solutions to address imbalanced classification in Big Data, data pre-processing is possibly the one that has attracted the highest attention from researchers.
In contrast to sampling methods and cost-sensitive methods that are specially designed to address imbalanced learning problem, boosting is an off-the-shelf approach that is particularly effective in handling imbalanced data.
