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ESA
2007
Springer
125views Algorithms» more  ESA 2007»
15 years 4 months ago
Online Primal-Dual Algorithms for Maximizing Ad-Auctions Revenue
We study the online ad-auctions problem introduced by Mehta et. al. [15]. We design a (1 − 1/e)competitive (optimal) algorithm for the problem, which is based on a clean primal-...
Niv Buchbinder, Kamal Jain, Joseph Naor
FOCM
2008
140views more  FOCM 2008»
14 years 10 months ago
Online Gradient Descent Learning Algorithms
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
Yiming Ying, Massimiliano Pontil
SIGIR
2008
ACM
14 years 9 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
ICDE
2010
IEEE
188views Database» more  ICDE 2010»
15 years 9 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
WADS
2007
Springer
131views Algorithms» more  WADS 2007»
15 years 4 months ago
On the Robustness of Graham's Algorithm for Online Scheduling
While standard parallel machine scheduling is concerned with good assignments of jobs to machines, we aim to understand how the quality of an assignment is affected if the jobs’...
Michael Gatto, Peter Widmayer