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ICONIP
2008
15 years 15 days ago
Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
Mohamad Faizal Bin Samsudin, Katsunari Shibata
IJCAI
2001
15 years 13 days ago
Balance and Filtering in Structured Satisfiable Problems
New methods to generate hard random problem instances have driven progress on algorithms for deduction and constraint satisfaction. Recently Achlioptas et al. (AAAI 2000) introduc...
Henry A. Kautz, Yongshao Ruan, Dimitris Achlioptas...
70
Voted
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 4 days ago
Multiobjective robustness for portfolio optimization in volatile environments
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...
Ghada Hassan, Christopher D. Clack
DATE
2010
IEEE
119views Hardware» more  DATE 2010»
14 years 11 months ago
Practical Monte-Carlo based timing yield estimation of digital circuits
—The advanced sampling and variance reduction techniques as efficient alternatives to the slow crude-MC method have recently been adopted for the analysis of timing yield in dig...
Javid Jaffari, Mohab Anis
84
Voted
CORR
2006
Springer
94views Education» more  CORR 2006»
14 years 11 months ago
Fitness Uniform Optimization
Abstract-- In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of more fit individuals. Th...
Marcus Hutter, Shane Legg