Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Lausen Berthold"'
Recommender systems are one of the most successful applications of machine learning and data science. They are successful in a wide variety of application domains, including e-commerce, media streaming content, email marketing, and virtually every in
Externí odkaz:
http://arxiv.org/abs/2304.00578
As retailers around the world increase efforts in developing targeted marketing campaigns for different audiences, predicting accurately which customers are most likely to churn ahead of time is crucial for marketing teams in order to increase busine
Externí odkaz:
http://arxiv.org/abs/2304.00575
The ability to automatically identify industry sector coverage in articles on legal developments, or any kind of news articles for that matter, can bring plentiful of benefits both to the readers and the content creators themselves. By having article
Externí odkaz:
http://arxiv.org/abs/2303.05387
The effect of training data size on machine learning methods has been well investigated over the past two decades. The predictive performance of tree based machine learning methods, in general, improves with a decreasing rate as the size of training
Externí odkaz:
http://arxiv.org/abs/2012.15301
Recent studies have adopted an approach of selecting accurate and diverse trees based on individual or collective performance within an ensemble for classification and regression problems. This work follows in the wake of these investigations and con
Externí odkaz:
http://arxiv.org/abs/2005.09043
Autor:
Prokosch Hans-Ulrich, Chronaki Catherine E, Bujnowska-Fedak Maria, Lausen Berthold, Santana Silvina, Wynn Rolf
Publikováno v:
BMC Family Practice, Vol 12, Iss 1, p 20 (2011)
Abstract Background The knowledge about the relationship between health-related activities on the Internet (i.e. informed citizens) and individuals' control over their own experiences of health or illness (i.e. empowered citizens) is valuable but sca
Externí odkaz:
https://doaj.org/article/752ce4f32e8649a89363e764994dd319
This research will investigate the predictors of quantitative skills at university. The variables that we will measure will be previous education experience in relation to performance accuracy on numeracy and statistics questions, retrospective confi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef446907f945cbf6d589a30f20e20d40
Publikováno v:
Marine Ecology Progress Series, 2012 Aug 01. 461, 71-82.
Externí odkaz:
https://www.jstor.org/stable/24876386
Autor:
Greenwood, Christina, Metodieva, Gergana, Al-Janabi, Khalid, Lausen, Berthold, Alldridge, Louise, Leng, Lin, Bucala, Richard, Fernandez, Nelson, Metodiev, Metodi V.
Publikováno v:
In Journal of Proteomics 6 June 2012 75(10):3031-3040
Publikováno v:
In Computational Statistics and Data Analysis 2011 55(5):1933-1941