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184
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IJCV
2000
15 years 6 months ago
2000
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
134
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
219
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MCSS
2009
Springer
15 years 11 months ago
2009
Springer
- In this paper, we investigate a new approach for the spectrum allocation in UWB systems. This approach consists in a cross-layer scheme that takes into consideration the differen...
157
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GECCO
2007
Springer
16 years 25 days ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
143
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SIAMJO
2002
15 years 6 months ago
2002
Most local convergence analyses of the sequential quadratic programming (SQP) algorithm for nonlinear programming make strong assumptions about the solution, namely, that the activ...