首页|Findings from Polytechnique Montreal Yields New Findings on Machine Learning (Detection and Evaluation of Bias-inducing Features In Machine Learning)
Findings from Polytechnique Montreal Yields New Findings on Machine Learning (Detection and Evaluation of Bias-inducing Features In Machine Learning)
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Springer Nature
Current study results on Machine Learning have been published. According to news originating from Montreal, Canada, by NewsRx correspondents, research stated, “The cause-to-effect analysis can help us decompose all the likely causes of a problem, such as an undesirable business situation or unintended harm to the individual(s). This implies that we can identify how the problems are inherited, rank the causes to help prioritize fixes, simplify a complex problem and visualize them.” Financial supporters for this research include Fonds de Recherche du Quebec (FRQ), Natural Sciences and Engineering Research Council of Canada (NSERC), Canadian Institute for Advanced Research (CIFAR), Huawei Technologies.
MontrealCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningPolytechnique Montreal
NETL
NSTL
Springer Nature
