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Found 3 papers, 1 papers with code
Fair Tree Classifier using Strong Demographic Parity
When dealing with sensitive data in automated data-driven decision-making, an important concern is to learn predictors with high performance towards a class label, whilst minimising for the discrimination towards any sensitive attribute, like gender or race, induced from biased data.
Genetic Algorithms for Evolving Computer Chess Programs
The evaluation function of the program is evolved by learning from databases of (human) grandmaster games.
Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions
This paper demonstrates the use of genetic algorithms for evolving a grandmaster-level evaluation function for a chess program.
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