Spectroscopy approaches for food safety applications: improving data efficiency using active learning and semi-supervised learning

HIGHLIGHTS

• who: Huanle Zhang from the Department of Computer Science, University of California, Davis, Davis, CA, United States, Department of Food Science have published the paper: Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning, in the Journal: (JOURNAL)
• what: AL and SSL for Data-Efficient Model Training To improve data efficiency, the authors explore two advanced model training techniques: AL (Settles, 2012) and SSL (Chapelle et_al, 2006). This paper differs from existing AL works in food science as the authors target general ML models while previous works are . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.