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» Solving iterated functions using genetic programming
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144
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SIAMJO
2010
87views more  SIAMJO 2010»
15 years 2 months ago
A Second Derivative SQP Method: Global Convergence
Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
Nicholas I. M. Gould, Daniel P. Robinson
159
Voted
ECML
2004
Springer
15 years 7 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
166
Voted
WIOPT
2010
IEEE
15 years 1 months ago
Optimizing power allocation in interference channels using D.C. programming
Abstract--Power allocation is a promising approach for optimizing the performance of mobile radio systems in interference channels. In the present paper, the non-convex objective f...
Hussein Al-Shatri, Tobias Weber
156
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GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
15 years 4 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
117
Voted
ICES
2003
Springer
101views Hardware» more  ICES 2003»
15 years 9 months ago
A Developmental Method for Growing Graphs and Circuits
A review is given of approaches to growing neural networks and electronic circuits. A new method for growing graphs and circuits using a developmental process is discussed. The met...
Julian F. Miller, Peter Thomson