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» Convex and Network Flow Optimization for Structured Sparsity
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CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 5 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
AUTOMATICA
2006
84views more  AUTOMATICA 2006»
13 years 7 months ago
Optimal control of LTI systems over unreliable communication links
In this paper, optimal control of linear time-invariant (LTI) systems over unreliable communication links is studied. The motivation of the problem comes from growing applications...
Orhan C. Imer, Serdar Yüksel, Tamer Basar
NIPS
2008
13 years 9 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
CISS
2007
IEEE
13 years 7 months ago
Robust Routing in Wireless Multi-Hop Networks
This paper introduces a robust approach to stochastic multi-hop routing for wireless networks when the quality of links is modelled through a reliability matrix R. Yielding to the ...
Yuchen Wu, Alejandro Ribeiro, Georgios B. Giannaki...
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 7 months ago
Optimization and Convergence of Observation Channels in Stochastic Control
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...
Serdar Yüksel, Tamás Linder