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CORR
2008
Springer
173views Education» more  CORR 2008»
14 years 9 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar
EDBT
2008
ACM
156views Database» more  EDBT 2008»
15 years 9 months ago
Online recovery in cluster databases
Cluster based replication solutions are an attractive mechanism to provide both high-availability and scalability for the database backend within the multi-tier information system...
WeiBin Liang, Bettina Kemme
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 6 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
CIKM
2003
Springer
15 years 2 months ago
Online duplicate document detection: signature reliability in a dynamic retrieval environment
As online document collections continue to expand, both on the Web and in proprietary environments, the need for duplicate detection becomes more critical. Few users wish to retri...
Jack G. Conrad, Xi S. Guo, Cindy P. Schriber
COLT
2001
Springer
15 years 2 months ago
Ultraconservative Online Algorithms for Multiclass Problems
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Koby Crammer, Yoram Singer