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MA
2011
Springer
219views Communications» more  MA 2011»
13 years 1 months ago
Quadratic minimisation problems in statistics
We consider the problem minx(x−t) A(x−t) subject to x Bx + 2b x = k where A is positive definite or positive semidefinite. Commonly occurring statistical variants of this pro...
Casper J. Albers, Frank Critchley, John C. Gower
ICML
2006
IEEE
14 years 7 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
ASC
2004
13 years 6 months ago
Solution to global stability of fuzzy regulators via evolutionary computation
A novel approach for solving fuzzy model-based stability problems via evolutionary computation (EC) is presented. Gain scheduling problem of a multi-model fuzzy system that satisf...
Lanka Udawatta, Keigo Watanabe, Kazuo Kiguchi, Kiy...
AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 7 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
ICPR
2010
IEEE
14 years 1 months ago
Semi-Supervised Distance Metric Learning by Quadratic Programming
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Hakan Cevikalp