Sentence examples for representations for predicting from inspiring English sources

New state-of-the-art word segmentation systems use neural models to learn representations for predicting word boundaries.

Table 2 presents the LOPO cross-validation results for the three SVM formulations for the 1-spectrum, position-dependent 1-spectrum and the combination of the two feature representations for predicting CaM binding sites.

We have previously used a similar representation for predicting the environmental fate of chemical compounds [ 26].

It seems that a reasonable feature space representation for predicting the oncogenic properties of such novel chimeric proteins should maintain knowledge of both preserved and lost functional domains in the partner genes.

In this study, we propose a novel matrix-based protein sequence representation approach for predicting PPIs.

In our case, the activations for each layer are incrementally better representations of compositions for predicting formation enthalpy.

SVM classifier employs the generic representation learnt for vessel type classification, whereas CNN employs a representation specifically learnt for predicting attributes.

Table 4 shows that attribute-based representation performs better for predicting length and draught; nevertheless, it performs slightly worse for gross tonnage and summer deadweight.

The objective is to find vector representations that are useful for predicting the surrounding words in a sentence given a target word23,44.

This time-scale representation has been used for predicting preterm delivery in pregnant women.

This representation is also more well-suited for predicting mutagenesis, where the all-atom structure of the resulting mutant is usually not known.