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实验室周例会报告预告--20171122 梁青青

报告题目:Auto-WEKA Combined Selection and Hyperparameter Optimization of Classification Algorithms

报 告 人:梁青青

报告时间:2017年11月22日(周三) 下午 2:00

报告地点:贵州大学北校区博学楼603室

报告内容摘要:

This paper Many different machine learning algorithms exist; takinginto account each algorithm’s hyperparameters, there is astaggeringly large number of possible alternatives overall. Weconsider the problem of simultaneously selecting a learningalgorithm and setting its hyperparameters, going beyondprevious work that attacks these issues separately. We showthat this problem can be addressed by a fully automatedapproach, leveraging recent innovations in Bayesian optimization.



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