Sentence examples for representations are better from inspiring English sources

In recent studies, Gazor et al. [14] and Jensen et al. [21] have used the moment test and have shown that Laplace multivariate distribution models speech signal or its representations are better than the Gaussian multivariate distribution.

In particular, the use of one-dimensional midpoint values (MP) is better than the use of two-dimensional S-I descriptions for glottal parameter contours (Fg and Ag), and two-dimensional representations are better than one-dimensional ones for pitch contours.

However, the extent to which the model can account for human neural object representations and whether object representations are better modeled by adding semantic information are both unknown.

These predictions have been supported by laboratory experiments showing that minimally counterintuitive representations are better remembered and passed on (Barrett and Nyhof 2001; Boyer and Ramble 2001), and analyses of actual folk tales showing that successful tales contain an optimal number of counterintuitive elements (Norenzayan et al. 2006).

While some representations were better than others in some situations, all of them improved performance.

Which term-representation is better: TF or TFIDF?   2.

Representation is better at some California news organizations, but most of the state's publications that reported data had no African American reporters.

While the percentage of minority representation was better in television -- about 1 in 5, RTNDA's national survey of women and minorities shows the percentage of African-American news employees in television was lower in 2011 than in any of the prior six years, lower than in 2000 and lower than in 1995.

We think this is because our graph cutting representation is not consistent with these terms, while the more general grid cutting representation is better.

A tree-like representation is better suited to analyze and display the evolution of protein families or sub-families including a large number of multiple gene copies.

The authors show that for learning compact representations, Deep Learning models are better than shallow learning models.