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» Learning with Drift Detection
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ICWSM
2009
14 years 7 months ago
Detecting Topic Drift with Compound Topic Models
Dan Knights, Michael C. Mozer, Nicolas Nicolov
COLT
2010
Springer
14 years 7 months ago
Regret Minimization With Concept Drift
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jenni...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
15 years 10 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
EPIA
2003
Springer
15 years 2 months ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas