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» The Convergence of Iterated Classification
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100
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CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 10 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
INFOCOM
2005
IEEE
15 years 6 months ago
Power control for OSNR optimization in optical networks: a distributed algorithm via a central cost approach
— This paper addresses the problem of optical signal-to-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general multi-lin...
L. Pavel
105
Voted
AMC
2008
111views more  AMC 2008»
15 years 25 days ago
A domain decomposition method for the Oseen-viscoelastic flow equations
We study a non-overlapping domain decomposition method for the Oseen-viscoelastic flow problem. The data on the interface are transported through Newmann and Dirichlet boundary co...
Eleanor Jenkins, Hyesuk Lee
CORR
2010
Springer
118views Education» more  CORR 2010»
15 years 23 days ago
alphaCertified: certifying solutions to polynomial systems
Smale's -theory uses estimates related to the convergence of Newton's method to give criteria implying that Newton iterations will converge quadratically to solutions to ...
Jonathan D. Hauenstein, Frank Sottile
TIT
2010
141views Education» more  TIT 2010»
14 years 7 months ago
Distributed averaging via lifted Markov chains
Abstract--Motivated by applications of distributed linear estimation, distributed control, and distributed optimization, we consider the question of designing linear iterative algo...
Kyomin Jung, Devavrat Shah, Jinwoo Shin