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ICML
2000
IEEE
14 years 1 days ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
TMM
2010
199views Management» more  TMM 2010»
13 years 2 months ago
Video Annotation Through Search and Graph Reinforcement Mining
Abstract--Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of th...
Emily Moxley, Tao Mei, Bangalore S. Manjunath
SPAA
2005
ACM
14 years 1 months ago
Admission control to minimize rejections and online set cover with repetitions
We study the admission control problem in general networks. Communication requests arrive over time, and the online algorithm accepts or rejects each request while maintaining the...
Noga Alon, Yossi Azar, Shai Gutner
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
IMC
2009
ACM
14 years 2 months ago
Characterizing user behavior in online social networks
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
Fabrício Benevenuto, Tiago Rodrigues, Meeyo...