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Systems and methods for generating biomarker signatures with integrated dual ensemble and generalized simulated annealing techniques
Systems and methods for generating biomarker signatures with integrated dual ensemble and generalized simulated annealing techniques
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机译:利用集成的双重集合和广义模拟退火技术生成生物标志签名的系统和方法
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摘要
Described herein are systems and methods for classifying a data set using an ensemble classification technique. Classifiers are iteratively generated by applying machine learning techniques to a training data set, and training class sets are generated by classifying the elements in the training data set according to the classifiers. Objective values are computed based on the training class sets, and objective values associated with different classifiers are compared until a desired number of iterations is reached, and a final training class set is output.
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