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» The Convergence of Iterated Classification
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ICML
2007
IEEE
16 years 1 months ago
Approximate maximum margin algorithms with rules controlled by the number of mistakes
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Petroula Tsampouka, John Shawe-Taylor
JMIV
2008
94views more  JMIV 2008»
15 years 26 days ago
Measuring Elongation from Shape Boundary
Abstract Shape elongation is one of the basic shape descriptors that has a very clear intuitive meaning. That is the reason for its applicability in many shape classification tasks...
Milos Stojmenovic, Jovisa D. Zunic
SIAMJO
2008
79views more  SIAMJO 2008»
15 years 25 days ago
A Class of Inexact Variable Metric Proximal Point Algorithms
For the problem of solving maximal monotone inclusions, we present a rather general class of algorithms, which contains hybrid inexact proximal point methods as a special case and ...
Lisandro A. Parente, Pablo A. Lotito, Mikhail V. S...
SIAMSC
2008
108views more  SIAMSC 2008»
15 years 24 days ago
A Nine Point Scheme for the Approximation of Diffusion Operators on Distorted Quadrilateral Meshes
A nine point scheme is presented for discretizing diffusion operators on distorted quadrilateral meshes. The advantage of this method is that highly distorted meshes can be used wi...
Zhiqiang Sheng, Guangwei Yuan
SIAMNUM
2010
140views more  SIAMNUM 2010»
14 years 7 months ago
Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
Mihály Kovács, Stig Larsson, Fardin ...