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» Convergence analysis of online algorithms
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PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 6 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...
TCS
2008
13 years 8 months ago
On the power of lookahead in on-line server routing problems
We study the usefulness of lookahead in online server routing problems: if an online algorithm is not only informed about the requests released so far, but also has a limited abil...
Luca Allulli, Giorgio Ausiello, Vincenzo Bonifaci,...
NETWORKING
2007
13 years 10 months ago
Reinforcement Learning-Based Load Shared Sequential Routing
We consider event dependent routing algorithms for on-line explicit source routing in MPLS networks. The proposed methods are based on load shared sequential routing in which load ...
Fariba Heidari, Shie Mannor, Lorne Mason
CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 8 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...
SIGIR
2002
ACM
13 years 8 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer