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It was indicated that automatic models were outperformed since they required too much time for tuning the parameters without any meaningful improvement in the final classification accuracy.
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Finally, more sophisticated automatic models are implemented that can self-learn a subset or all of the model parameters.
Automatic models are now rated at 26 mpg in the city and 36 mpg on the highway.
Lastly, Ho et al. studied a method of reviewing the ground contact stability of mobile cranes, but only main items were explained and a formula was proposed (lacking detailed review items and procedure), and no automatic model was proposed ([Ho, Seo and Kim 2007]).
In the automatic mode, 48 models were formed while parameters of linear and radial basis function (RBF) kernels were tuned using different optimization techniques, cost functions and encoding schemes.
Weights of criteria is determined through analytic hierarchy process, and both conventional and automatic evaluating models are proposed by applying fuzzy comprehensive evaluation and neural network, respectively.
To predict these scores, various features were extracted by automatic annotation and regression models were trained.
And even the automatic-transmission models are equipped for fun: the adaptive controls recognize when you are braking hard into a corner and can automatically downshift to provide engine braking, all while selecting the proper gear to shoot out of the turn.
Multivariate models were constructed using automatic stepwise selection estimation with likelihood ratio testing (P-value ≤0.20) specified as the test of significance to include or exclude variables.
The substructure determination, phasing, density modification and initial automatic model building were all performed by using the AutoSol Wizard of Phenix[44].
Automatic knowledge-based models are inspired from semi-supervised models to which domain specific knowledge is manually provided.
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