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» Convergence Properties of the K-Means Algorithms
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BMCBI
2007
160views more  BMCBI 2007»
14 years 9 months ago
Convergent algorithms for protein structural alignment
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...
Leandro Martínez, Roberto Andreani, Jos&eac...
UAI
2003
14 years 11 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
CCE
2004
14 years 9 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
98
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EJASP
2010
142views more  EJASP 2010»
14 years 4 months ago
Linear High-Order Distributed Average Consensus Algorithm in Wireless Sensor Networks
This paper presents a linear high-order distributed average consensus (DAC) algorithm for wireless sensor networks. The average consensus property and convergence rate of the high...
Gang Xiong, Shalinee Kishore
DAGSTUHL
2007
14 years 11 months ago
Nonsymmetric algebraic Riccati equations associated with an M-matrix: recent advances and algorithms
We survey on theoretical properties and algorithms concerning the problem of solving a nonsymmetric algebraic Riccati equation, and we report on some known methods and new algorit...
Dario Andrea Bini, Bruno Iannazzo, Beatrice Meini,...