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ICML
2009
IEEE
14 years 9 months ago
Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
ALT
2008
Springer
14 years 6 months ago
Optimally Learning Social Networks with Activations and Suppressions
In this paper we consider the problem of learning hidden independent cascade social networks using exact value injection queries. These queries involve activating and suppressing a...
Dana Angluin, James Aspnes, Lev Reyzin
GLOBECOM
2009
IEEE
14 years 3 months ago
A Suboptimal Network Utility Maximization Approach for Scalable Multimedia Applications
—Wired and wireless data networks have witnessed an explosive growth of inelastic traffics such as real-time or media streaming applications. Recently, applications relying on l...
Mohammad Sadegh Talebi, Ahmad Khonsari, Mohammad H...
ATAL
2009
Springer
14 years 3 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
LION
2007
Springer
113views Optimization» more  LION 2007»
14 years 3 months ago
Limited-Memory Techniques for Sensor Placement in Water Distribution Networks
Abstract. The practical utility of optimization technologies is often impacted by factors that reflect how these tools are used in practice, including whether various real-world c...
William E. Hart, Jonathan W. Berry, Erik G. Boman,...