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» Bayesian Evolutionary Optimization Using Helmholtz Machines
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GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 3 months ago
Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution
We have already proposed using evolutionary computation to adjust the voice quality conversion parameters, and we have reported that this approach produces results that are not onl...
Yuji Sato
CVPR
2010
IEEE
13 years 10 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
14 years 2 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 1 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...
EMNLP
2009
13 years 7 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li