2. The method of claim 1 , further comprising: incorporating a Gaussian priors during feature selection and during parameter optimization for construction of a statistical model, wherein the incorporated Gaussian priors have a plurality of parameters between which calculated means and variances vary.
2. The method of claim 1 , further comprising: incorporating a Gaussian priors during feature selection and during parameter optimization for construction of a statistical model, wherein the incorporated Gaussian priors have a plurality of parameters between which calculated means and variances vary. 3. The method of claim 2 , wherein the statistical model includes a conditional maximum entropy model.