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IDA
1998
Springer
15 years 6 months ago
Fast Dimensionality Reduction and Simple PCA
A fast and simple algorithm for approximately calculating the principal components (PCs) of a data set and so reducing its dimensionality is described. This Simple Principal Compo...
Matthew Partridge, Rafael A. Calvo
169
Voted
CONSTRAINTS
1999
105views more  CONSTRAINTS 1999»
15 years 6 months ago
Algorithmic Power from Declarative Use of Redundant Constraints
Interval constraints can be used to solve problems in numerical analysis. In this paper we show that one can improve the performance of such an interval constraint program by the ...
Maarten H. van Emden
ML
2002
ACM
104views Machine Learning» more  ML 2002»
15 years 6 months ago
A Simple Decomposition Method for Support Vector Machines
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
Chih-Wei Hsu, Chih-Jen Lin
MOC
2002
81views more  MOC 2002»
15 years 6 months ago
Optimal a priori error estimates for the hp-version of the local discontinuous Galerkin method for convection--diffusion problem
We study the convergence properties of the hp-version of the local discontinuous Galerkin finite element method for convection-diffusion problems; we consider a model problem in a ...
Paul Castillo, Bernardo Cockburn, Dominik Schö...
MOC
2002
108views more  MOC 2002»
15 years 6 months ago
Newton-like method with modification of the right-hand-side vector
This paper proposes a new Newton-like method which defines new iterates using a linear system with the same coefficient matrix in each iterate, while the correction is performed on...
Natasa Krejic, Zorana Luzanin