535 search results - page 55 / 107 » Online learning over graphs |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
ADC
2006
Springer
14 years 1 months ago
2006
Springer
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...