To find such a bias is still the hardest problem in any ML task and essential for the initial choice of an appropriate hypothesis space, which must be large enough to contain a solution, and small enough to ensure a good generalization from a small number of data sets.
We used a distance of geometric-mean algorithm to perform the analyses, which provides a good generalization of the niche (Hirzel and Arlettaz 2003).
Also, since the results for Test Set MCI also did not change significantly, it is reasonable to say that the sample pruning and usage of metafeatures introduced a good generalization in the signature.
The results presented here provide a good generalization of the above-mentioned Sofonea results.
We observed a higher accuracy of Taxy-Pro in the quantification of archaeal DNA, where the narrow spectrum of available database genomes requires a good generalization of the profiling method.
Of course, we also want F to have a good generalization ability, i.e. to be able to assess the target value for new patients, that have not been used in the training phase.
In order to achieve a good generalization performance, it is essential to find certain optimal hyper-parameters of SVM model.
It was stated that a good generalization takes place both with respect to displacements and velocities.
In particular, how can any learning algorithm obtain a classifier that is able to perform a good generalization when there is not enough data that represent the boundaries of the problem?
Then, an adaptive neuro-fuzzy inference system model is implemented for modeling surface roughness, yielding a high goodness of fit indices and a good generalization capability.
The -SVR is able to learn a nonlinear relation and shows a good generalization ability, being based on the structural risk minimization principle.
