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开放ML:从10年的洞察力和超过一千篇论文

Bernd Bischl1,2, Giuseppe Casalicchio1,2, Taniya Das3

  • 1Department of Statistics, LMU Munich, Munich, Germany.

Patterns (New York, N.Y.)
|September 10, 2025
PubMed
概括

开源平台OpenML通过数据共享和协作基准测试使机器学习评估变得民主化. 它已经激发了1500多篇出版物,促进了可重复的科学和推进人工智能研究.

关键词:
公平的数据是公平的.打开MLML 打开MLML人工智能的人工智能是人工智能.自动机器学习自动化机器学习基准测试 (benchmarking) 是一种比较的方法.机器学习是机器学习.这就是meta-learning的意义.网络化科学 网络化科学开放科学是一个开放的科学.可复制性的可复制性

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