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» Boosting Methods for Regression
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ICML
2006
IEEE
16 years 5 days ago
Constructing informative priors using transfer learning
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Rajat Raina, Andrew Y. Ng, Daphne Koller
WWW
2008
ACM
16 years 1 days ago
Keyword extraction for contextual advertisement
As the largest online marketplace, eBay strives to promote its inventory throughout the Web via different types of online advertisement. Contextually relevant links to eBay assets...
Xiaoyuan Wu, Alvaro Bolivar
WWW
2001
ACM
16 years 14 hour ago
Support concepts for Web navigation: a cognitive engineering approach
Current Network User Interfaces (NUIs) provide entrances to an enormous amount of Web-based services, bringing about new use problems such as laborious and unsuccessful navigation...
Mark A. Neerincx, Jasper Lindenberg, Steven Pember...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 11 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
15 years 11 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...