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» The Convergence of Iterated Classification
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CORR
2011
Springer
193views Education» more  CORR 2011»
13 years 2 months ago
The Rate of Convergence of AdaBoost
The AdaBoost algorithm was designed to combine many “weak” hypotheses that perform slightly better than random guessing into a “strong” hypothesis that has very low error....
Indraneel Mukherjee, Cynthia Rudin, Robert E. Scha...
CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 11 months ago
Convergence Thresholds of Newton's Method for Monotone Polynomial Equations
Abstract. Monotone systems of polynomial equations (MSPEs) are systems of fixedpoint equations X1 = f1(X1, . . . , Xn), . . . , Xn = fn(X1, . . . , Xn) where each fi is a polynomia...
Javier Esparza, Stefan Kiefer, Michael Luttenberge...
SIAMCO
2008
72views more  SIAMCO 2008»
13 years 10 months ago
Mesh Independence of Kleinman--Newton Iterations for Riccati Equations in Hilbert Space
In this paper we consider the convergence of the infinite dimensional version of the Kleinman
John A. Burns, Ekkehard W. Sachs, Lizette Zietsman
ICASSP
2008
IEEE
14 years 5 months ago
Distributed average consensus with increased convergence rate
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates
ICASSP
2008
IEEE
14 years 5 months ago
Iterative extrapolation algorithm for data reconstruction over sphere
Given limited or incomplete measurement data on a sphere, a new iterative algorithm is proposed on how to extrapolate signal over the whole sphere. The algorithm is based on a pri...
Wen Zhang, Rodney A. Kennedy, Thushara D. Abhayapa...