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» Machine learning problems from optimization perspective
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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
15 years 9 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
138
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COLT
2010
Springer
15 years 19 days ago
Best Arm Identification in Multi-Armed Bandits
We consider the problem of finding the best arm in a stochastic multi-armed bandit game. The regret of a forecaster is here defined by the gap between the mean reward of the optim...
Jean-Yves Audibert, Sébastien Bubeck, R&eac...
143
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IOR
2010
161views more  IOR 2010»
15 years 1 months ago
Mechanism Design for Decentralized Online Machine Scheduling
We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from the perspective of algorithmic mechanism desig...
Birgit Heydenreich, Rudolf Müller, Marc Uetz
159
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EMNLP
2011
14 years 2 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
107
Voted
ICML
2008
IEEE
16 years 3 months ago
Multiple instance ranking
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, ...