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Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability
In networks of independent entities that face similar predictive tasks, ...
03/29/2020 ∙ by Robin Hirt, et al. ∙
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Machine Learning in Artificial Intelligence: Towards a Common Understanding
The application of "machine learning" and "artificial intelligence" has ...
03/27/2020 ∙ by Niklas Kühl, et al. ∙
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Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime
Reverse Vending Machines (RVMs) are a proven instrument for facilitating...
03/30/2020 ∙ by Jannis Walk, et al. ∙
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A network-based transfer learning approach to improve sales forecasting of new products
Data-driven methods – such as machine learning and time series forecasti...
05/13/2020 ∙ by Tristan Karb, et al. ∙
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How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting
In a variety of business situations, the introduction or improvement of ...
05/15/2020 ∙ by Robin Hirt, et al. ∙
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