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CEC
2009
IEEE
13 years 11 months ago
The Pareto-Following Variation Operator as an alternative approximation model
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 5 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 3 days ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
JMLR
2010
136views more  JMLR 2010»
12 years 11 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
ICCAD
2007
IEEE
134views Hardware» more  ICCAD 2007»
13 years 8 months ago
Efficient decoupling capacitance budgeting considering operation and process variations
This paper solves the variation-aware on-chip decoupling capacitance (decap) budgeting problem. Unlike previous work assuming the worst-case current load, we develop a novel stocha...
Yiyu Shi, Jinjun Xiong, Chunchen Liu, Lei He