Sentence examples for normalizing training from inspiring English sources

Table 1 Machine learning methods used in the experiments with the optional abbreviations used in further work Classifier Classification scheme Parameters Naïve Bayes (NB) bayes - Sequential Minimal Optimization (SMO) functions The complexity parameter was set at 1, the epsilon for a round-off error was 1.0 E-12, and an option of normalizing training data was chosen.

Table 4 Machine learning algorithms used and a short description of their training parameters Classifier Classification scheme Settings Sequential Minimal Optimization (SMO) functions The complexity parameter was set at 1, the epsilon for a round-off error was 1.0 E-12, and the option of normalizing training data was chosen.

Watchful waiting, advice, normalizing expectations, parent training, and counselling should precede diagnosis and treatment.

As such, the development of novel clinical strategies targeting at normalizing neurological processing ("training the brain") to achieve pain reduction and improved function has been argued to be a challenging new direction for musculoskeletal clinicians and researchers involved in the management of CSP.

Based on the findings mentioned in [26], we will investigate how to constrain the variance of normalizing factors during the training to further improve our method in the next work.

After data normalizing, 60%% of data for training, 20percentt for validation, and the remaining 20%% were used for network test.

For example, studies have indicated abnormal prefrontal function in PG [ 6, 7, 21], and neurofeedback training can be focused on normalizing frontal electroencephalogram patterns.

In short, the GMM-HMM is trained on features obtained by first normalizing MFCCs to zero mean per speaker, then splicing together 7 frames of 13-dimensional MFCCs and reducing them to 40 dimensions through linear discriminant analysis (LDA) [37], followed by a semi-tied covariance (STC) transform [38].

There remain many challenges in this domain, however, with the evolution of different platforms, the complexities of normalizing miR profiling data, and the importance of evaluating sufficiently-powered training and validation cohorts.

Normalizing men bragging about sexual assault only normalizes sexual assault.

To improve generalization capability of SVM, the preprocessing of training data may include data smoothing, excluding odd values, and normalizing experimental data.