https://www.amazon.science/publications/addressing-cold-start-in-product-search-via-empirical-bayes
Cold start is a challenge in product search. Profuse literature addresses related problems such as bias and diversity in search, and cold start is a classic...
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https://www.birmingham.ac.uk/news-archive/2018/rebels-of-art-and-science-the-empirical-drive-of-the-pre-raphaelites
John Holmes writes for the latest edition of Nature.
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https://www.amazon.science/publications/failing-loudly-an-empirical-study-of-methods-for-detecting-dataset-shift
We might hope that when faced with unexpected inputs, well-designed software systems would fire off warnings. Machine learning (ML) systems, however, which...
empirical studyfailingloudlymethodsdataset
https://www.amazon.science/publications/bayesian-meta-prior-learning-using-empirical-bayes
Adding domain knowledge to a learning system is known to improve results. In multi-parameter Bayesian frameworks, such knowledge is incorporated as a prior. On...
prior learningempirical bayesamazon sciencebayesianmeta