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GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
14 years 1 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...
ICDCS
2000
IEEE
14 years 2 days ago
On Low-Cost Error Containment and Recovery Methods for Guarded Software Upgrading
To assure dependable onboard evolution, we have developed a methodology called guarded software upgrading (GSU). In this paper, we focus on a low-cost approach to error containmen...
Ann T. Tai, Kam S. Tso, Leon Alkalai, Savio N. Cha...
TSP
2010
13 years 2 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
CSDA
2004
104views more  CSDA 2004»
13 years 7 months ago
Consistent estimation in an implicit quadratic measurement error model
An adjusted least squares estimator is derived that yields a consistent estimate of the parameters of an implicit quadratic measurement error model. In addition, a consistent esti...
Alexander Kukush, Ivan Markovsky, Sabine Van Huffe...
CORR
1999
Springer
71views Education» more  CORR 1999»
13 years 7 months ago
New Error Bounds for Solomonoff Prediction
Solomonoff sequence prediction is a scheme to predict digits of binary strings without knowing the underlying probability distribution. We call a prediction scheme informed when i...
Marcus Hutter