Several validation methods have been used for training, testing, and estimating generalization errors of a SVM model (Bhasin and Raghava, 2004a; Martin et al. 2005; Plewczynski et al. 2005; Lei and Dai, 2006) based on a "re-sampling" strategy (Weiss and Kulikowski, 1991; Shao and Tu, 1995).
Systematic computer simulations have been carried out in order to test learning and generalization capabilities of the system.
"The test sequence and generalization makes the Cuban reform process rational, but slow".
Despite increased model complexity, ANN2 showed only slightly better discrimination on test data and generalization power, but worse calibration.
The proposed method was applied to ten multiclass gene-expression datasets; the independent test accuracy and generalization performance were obviously better than those of mainstream comparative algorithms.
Since disjoint speakers and disjoint music pieces were used in training, validation, and testing, the accuracy and generalization of the proposed EESN method could be evaluated more objectively and fairly.
Each experiment included a training test and a generalization test.
Instead, replications that introduce some variation in the procedures (e.g. testing in more than one model or strain, as discussed below) will also test the robustness and generalization of the outcomes and might better serve the goal of validating candidate therapeutics (Steward et al., 2012).
Utilizing the simulated data for two types of bridge structures, the approach is exhaustively tested for its reproduction and generalization performances over different thermal regimes that are encountered in practice.
Future studies to determine the feasibility of this procedure in applied contexts can make use of the material described here—including the tests of repertoire maintenance and generalization for new environments and can be conducted in institutions specialized in teaching individuals with difficulties in language acquisition.
