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» Some new iterative methods with three-order convergence
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ICML
2003
IEEE
14 years 8 months ago
Adaptive Overrelaxed Bound Optimization Methods
We study a class of overrelaxed bound optimization algorithms, and their relationship to standard bound optimizers, such as ExpectationMaximization, Iterative Scaling, CCCP and No...
Ruslan Salakhutdinov, Sam T. Roweis
SIAMJO
2002
77views more  SIAMJO 2002»
13 years 7 months ago
Modifying SQP for Degenerate Problems
Most local convergence analyses of the sequential quadratic programming (SQP) algorithm for nonlinear programming make strong assumptions about the solution, namely, that the activ...
Stephen J. Wright
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 2 months ago
Adaptive Channel Recommendation for Dynamic Spectrum Access
—We propose a dynamic spectrum access scheme where secondary users recommend “good” channels to each other and access accordingly. We formulate the problem as an average rewa...
Xu Chen, Jianwei Huang, Husheng Li
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 1 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
ISPD
1997
ACM
68views Hardware» more  ISPD 1997»
13 years 11 months ago
Faster minimization of linear wirelength for global placement
A linear wirelength objective more e ectively captures timing, congestion, and other global placement considerations than a squared wirelength objective. The GORDIAN-L cell placem...
Charles J. Alpert, Tony F. Chan, Dennis J.-H. Huan...