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PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 3 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
ICALP
2009
Springer
14 years 5 months ago
Online Computation with Advice
Adi Rosén, Amos Korman, Pierre Fraigniaud, ...
ICALP
2011
Springer
12 years 8 months ago
On the Advice Complexity of the k-Server Problem
Competitive analysis is the established tool for measuring the output quality of algorithms that work in an online environment. Recently, the model of advice complexity has been in...
Hans-Joachim Böckenhauer, Dennis Komm, Rastis...
CSE
2009
IEEE
13 years 9 months ago
Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media
—The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, ther...
Sai T. Moturu, Jian Yang, Huan Liu
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 5 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias