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OL
2011
332views Neural Networks» more  OL 2011»
13 years 2 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
GFKL
2005
Springer
88views Data Mining» more  GFKL 2005»
14 years 27 days ago
The Partial Robust M-approach
The PLS approach is a widely used technique to estimate path models relating various blocks of variables measured from the same population. It is frequently applied in the social s...
Sven Serneels, Christophe Croux, Peter Filzmoser, ...
DAGM
2006
Springer
13 years 9 months ago
Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
Hongwei Zheng, Olaf Hellwich
NIPS
2001
13 years 8 months ago
Partially labeled classification with Markov random walks
To classify a large number of unlabeled examples we combine a limited number of labeled examples with a Markov random walk representation over the unlabeled examples. The random w...
Martin Szummer, Tommi Jaakkola
TOMS
2011
84views more  TOMS 2011»
13 years 2 months ago
A Supernodal Approach to Incomplete LU Factorization with Partial Pivoting
We present a new supernode-based incomplete LU factorization method to construct a preconditioner for solving sparse linear systems with iterative methods. The new algorithm is pr...
Xiaoye S. Li, Meiyue Shao