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JMLR
2006
79views more  JMLR 2006»
13 years 11 months ago
Universal Kernels
In this paper we investigate conditions on the features of a continuous kernel so that it may approximate an arbitrary continuous target function uniformly on any compact subset o...
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
RSFDGRC
2005
Springer
133views Data Mining» more  RSFDGRC 2005»
14 years 4 months ago
Rough Set Approximation Based on Dynamic Granulation
In this paper, the concept of a granulation order is proposed in an information system. The positive approximation of a set under a granulation order is defined. Some properties o...
Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Ju...
JMLR
2012
12 years 1 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
ICIP
1999
IEEE
15 years 14 days ago
The Sinc-Approximating Kernels of Classical Polynomial Interpolation
A classical approach to interpolation of sampled data is polynomial interpolation. However, from the sampling theorem it follows that the ideal approach to interpolation is to con...
Erik H. W. Meijering, Wiro J. Niessen, Max A. Vier...
TEC
2002
128views more  TEC 2002»
13 years 10 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff