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Anisotropic oracle inequalities in noisy quantization
Quantization Deconvolution Fast rates Margin assumption,k-means clus-tering
2013/6/13
The effect of errors in variables in quantization is investigated. We prove general exact and non-exact oracle inequalities with fast rates for an empirical minimization based on a noisy sample $Z_i=X...
Asymptotically optimal parameter estimation under quantization constraints
Asymptotically quantization constraints parameter estimation
2011/3/18
The problem of decentralized parameter estimation is considered for diffusion-type processes whose drift coefficients are linear with respect to the unknown parameter. This problem is motivated by app...
On the use of self-organizing maps to accelerate vector quantization
use self-organizing maps vector quantization
2010/4/26
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantified (or classified) either on the same location or on neighbor ones on a prede...
Forecasting the CATS benchmark with the Double Vector Quantization method
Time Series prediction CATS competition Double Vector Quantization method
2010/4/27
The Double Vector Quantization method, a long-term forecasting method based
on the SOM algorithm, has been used to predict the 100 missing values of the
CATS competition data set. An analysis of the...