Sentence examples for alignment of the training from inspiring English sources

The selection of the best hypothesis model was based on the total cost, predictive ability, difference in the cost from the null hypothesis and alignment of the training set compounds on to the hypothesis.

where p 0 j) is the prior probability of a state j calculated from a forced alignment of the training data.

The consensus contains non-contiguous match states but this was taken into account by looking back at the Viterbi alignment of the training set.

During training, the phonetic contexts are determined for the decoding questions from the forced alignments of the training data.

We used the backpropagation algorithm with labels obtained by performing an HMM state alignment of the clean speech training data using a GMM-based recognizer trained with the maximum likelihood criterion.

In comparison to SVM, the cuPSSM approach depends greatly on the quality of the alignment of the query sequence to the training data and thus can only be applicable for highly conserved genes.

Although the proposed training sequence arrangement is free from mutual interference, the time-division alignment of training sequence decreases the system efficiency.

For the subtree-based local alignment method, we used Infernal version 1.0 to build a CM of the training alignment subset with cmbuild with the –enone option to shut off entropy weighting.

Both increasing the number of workers with postsecondary credentials and enhancing their skill mix so they are ready for the innovation economy will require a much closer alignment of the nation's worker-training programs and our traditional higher education system.

The cases in which SMURFLite performs poorly exhibit an interesting property: the structural alignment of the protein chains used in the training set preserves few, or sometimes none, of the beta strands as 'consensus' beta strands.

We fitted newly estimated HIV models and three previously published models-JTT [28], WAG [14] and rtREV [15], estimating stationary frequencies from the data to each of the training alignments.