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Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability

Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability

Hawaii International Conference on System Sciences (HICSS), 2020
Robin Hirt
Akash Srivastava
Carlos Berg
Niklas Kühl
ArXiv (abs)PDFHTML

Papers citing "Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability"

2 / 2 papers shown
Title
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting
Robin Hirt
Niklas Kühl
Yusuf Peker
G. Satzger
AI4TS
120
5
0
15 May 2020
A network-based transfer learning approach to improve sales forecasting of new products
A network-based transfer learning approach to improve sales forecasting of new products
Tristan Karb
Niklas Kühl
Robin Hirt
V. Glivici-Cotruţă
79
19
0
13 May 2020

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