Search Results for author:
Found 2 papers, 0 papers with code
Mixture Density Networks for Classification with an Application to Product Bundling
The Gaussian mixture representation of the learnt WTP distributions is then exploited to obtain the WTP distribution of the bundle consisting of both the products.
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
We propose Embed-RUL: a novel approach for RUL estimation from sensor data that does not rely on any degradation-trend assumptions, is robust to noise, and handles missing values.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
