Machine learning could improve innovation policy

被引:1
|
作者
Furman, Jeffrey L. [1 ,2 ]
Teodoridis, Florenta [3 ]
机构
[1] Boston Univ, Boston, MA 02215 USA
[2] Natl Bur Econ Res, Cambridge, MA 02138 USA
[3] Univ Southern Calif, Los Angeles, CA 90007 USA
关键词
D O I
10.1038/s42256-020-0155-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页码:84 / 84
页数:1
相关论文
共 50 条
  • [41] Hybrid machine learning to improve predictive performance
    Ha, Sung Ho
    Jin, Jong Sik
    Joo, Seong Hyeon
    COMPUTATIONAL METHODS AND APPLIED COMPUTING, 2008, : 373 - +
  • [42] Learning rules to improve a machine translation system
    Kauchak, D
    Elkan, C
    MACHINE LEARNING: ECML 2003, 2003, 2837 : 205 - 216
  • [43] Machine Learning to Improve Accuracy of Transcutaneous Bilirubinometry
    Morimoto, Daisaku
    Washio, Yosuke
    Fukuda, Kana
    Sato, Takeshi
    Okamura, Tomoka
    Watanabe, Hirokazu
    Yoshimoto, Junko
    Tanioka, Maki
    Tsukahara, Hirokazu
    NEONATOLOGY, 2024, 121 (06) : 772 - 779
  • [44] Using Machine Learning to Improve the Email Experience
    Najork, Marc
    CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2016, : 891 - 891
  • [45] Applying Machine Learning to Improve Curriculum Design
    Ball, Robert
    Duhadway, Linda
    Feuz, Kyle
    Jensen, Joshua
    Rague, Brian
    Weidman, Drew
    SIGCSE '19: PROCEEDINGS OF THE 50TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, 2019, : 787 - 793
  • [46] Machine learning tapped to improve climate forecasts
    Jones, Nicola
    NATURE, 2017, 548 (7668) : 379 - 380
  • [47] Ensemble machine learning to improve scoring functions
    Wang, Xiang
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 254
  • [48] Using Machine Learning to Improve Automatic Vectorization
    Stock, Kevin
    Pouchet, Louis-Noel
    Sadayappan, P.
    ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2012, 8 (04)
  • [49] Sparse Fuzzy Techniques Improve Machine Learning
    Sanchez, Reinaldo
    Servin, Christian
    Argaez, Miguel
    PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS), 2013, : 531 - 535
  • [50] Machine Learning to Improve Causal Inference in Pharmacoepidemiology
    Roy, Jason
    Mitra, Nandita
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2019, 28 : 26 - 27