Sciweavers

2280 search results - page 29 / 456
» Global Optimization for Optimal Generalized Procrustes Analy...
Sort
View
CEC
2007
IEEE
15 years 10 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
ICC
2007
IEEE
15 years 10 months ago
Root Nyquist Pulses with an Energy Criterion
Abstract— The design of root-Nyquist pulses with the maximum possible energy concentration of the power spectrum is a fundamental problem is communications engineering. Since the...
Ritesh Sood, Hong Xiao
121
Voted
EMMCVPR
2009
Springer
15 years 10 months ago
General Search Algorithms for Energy Minimization Problems
We describe a scheme for solving Energy Minimization problems, which is based on the A∗ algorithm accomplished with appropriately chosen LP-relaxations as heuristic functions. Th...
Dmitrij Schlesinger
CORR
2007
Springer
167views Education» more  CORR 2007»
15 years 3 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 9 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung