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» The Convergence of Iterated Classification
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CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
13 years 5 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
MP
2011
13 years 5 months ago
A first-order interior-point method for linearly constrained smooth optimization
Abstract: We propose a first-order interior-point method for linearly constrained smooth optimization that unifies and extends first-order affine-scaling method and replicator d...
Paul Tseng, Immanuel M. Bomze, Werner Schachinger
RE
2002
Springer
13 years 10 months ago
Converging on the Optimal Attainment of Requirements
Planning for the optimal attainment of requirements is an important early lifecycle activity. However, such planning is difficult when dealing with competing requirements, limited...
Martin S. Feather, Tim Menzies
CVPR
2007
IEEE
15 years 27 days ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
SIAMJO
2002
159views more  SIAMJO 2002»
13 years 10 months ago
Locating the Least 2-Norm Solution of Linear Programs via a Path-Following Method
A linear program has a unique least 2-norm solution provided that the linear program has a solution. To locate this solution, most of the existing methods were devised to solve cer...
Yun-Bin Zhao, Duan Li