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A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.
This work proposes a class oriented technology for features ensembles formation based on preliminary sequential selection by interclass and intraclass dispersion criteria for final promising ensembles ...
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