Sentence examples for between training data and from inspiring English sources
Gaussian kernel is chosen to compute density distance between training data and test data.
Figure 20a shows the normalized absolute average error of training data per normalized forecasting length (h). Figure 20b shows the divergence between training data and network training data.
Due to its implementation simplicity and good convergence features, a Genetic Algorithm (GA) was adopted to solve the resulting optimization problem consisting on the minimization of the Mean Square Error (MSE) between training data and experimentally obtained field emergence data.
The main difference from our system was the use of the "own dataset" that can compensate for the mismatches between training data and evaluation data (especially for the REALDATA) and improve the performance.
We vary the ratios between training data and test data and plot them with the nonzero-weighted basic learners after RVM procedure.
Note that the use of pre-trained models might introduce a bias favoring the accuracy of ab initio based gene finders, due to possible similarities between training data and the data used in this study.
Absolute fitness values and the percentage difference between training data fitness and test data fitness are shown.
In this scenario, due to the variety in the evaluation environments and the mismatch between simulated training data and real test data, discriminative training would cause over-training problems, although discriminative training is very powerful for matched conditions where training and evaluation conditions are close, in general.
The phone-class information is more effective when the mismatch between the training data and the test data is larger.
When there is a difference in data distribution between the training data and test data, the results of a predictive learner can be degraded [107].
By simultaneously estimating and suppressing the environment-dependent reverberation with a one-step environment-dependent DAE (that is, reverberation-aware DAE), the mismatch between the training data and test data will be reduced.
