Sentence examples for by generating a training from inspiring English sources

In this paper, fuzzy rule base has been designed for hang function by generating a training datasheet using the basic equation.

By generating a PLS model with a training set of data including both X (cytokines/adducts) and Y (lesions) variables, and then using this model on another data set of X variables only (prediction set), the predictive ability of the X variables and the model to output accurate Y values can be assessed.

(2)  Training begins by generating a random population of binary strings initialized to be functional ANNs.

An overview of the GPNN method is shown in Figure 2. Training the GPNN begins by generating an initial random population of solutions.

Further sentences were classified by a human annotator (TL) to generate a training data set on which a 'bag-of-words' support vector machine learning algorithm was applied (with one round of active learning) in order to develop NLP applications to identify each construct.

(A3) Keeping the total available x constant and varying the number of individuals with GBS data in the training set (and SNP array data for the same markers in the prediction set), accuracies of EBV were generally maximized by using large training sets that comprised individuals with a low x, rather than by generating small training sets that comprised individuals with a high x.

Thus, by generating the training and test sets, a combination was formed between the extracted sequences and the selected features: presence or absence of an ATG upstream in frame with the TIS, presence or absence of a stop codon in the following 100 nucleotides [ 1, 4, 15, 29, 30], presence or absence of the codons CTG, GAC, GAG and GCC in the downstream region in frame with the TIS [ 4, 15, 29].

Our idea is to expand the training sets by generating auxiliary training examples.

While this paper, along with other recent ones, focuses on using soft targets from a more accurate "teacher" network to train an easier-to-deploy DNN, these older works were concerned with improving recognition accuracy of a single NN used during both training and deployment by generating training targets which more smoothly represented the transitions between HMM states.

A training set for regression analysis, { D n } n = 1 N, is created by generating training points for each gene from the data matrix E. For gene n, the training points are D n = { (x n i, y n i ) } i = 1 I.

If only two LTS are available, that is,, we can guarantee the invertibility by generating training symbols such that.