Sentence examples for using more complex approaches from inspiring English sources

This early system, based on a simple bilingual dictionary with a few rules to determine word order, caused a surge of enthusiasm and funding.For the next decade, MT researchers tried to overcome the limitations of simple dictionary-based systems using more complex approaches which analysed the source text using grammatical rules.

Practicing with broad-based ETFs to become familiar with the ups and downs of trading options can help shorten the learning curve, whether simply buying call and put options or using more complex approaches, like spreads.

Some authors considered positive those subjects showing SUVR values that are 1, 1.5 or 2 standard deviations higher than normal controls [ 34, 56, 103– 105], while others used more complex approaches such as cluster analyses [ 12, 48, 106, 107], iterative outlier removal [ 108] or complex functions [ 94].

Accordingly, the analysis of structures like nanoactuators is commonly carried out by using more complex constitutive approaches, such as gradient or integral models.

For larger data sets using more complex spatialisation approaches, it is also suggested to conduct a visual assessment with Google maps using a representative sample number of bioenergy plants in order to determine the potential level of uncertainty associated with such point data.

MTC meta-analyses can be conducted using more complex methodology, often employing Bayesian approaches, to compare multiple interventions.

It is uncommon to see papers that report using computational GBA as an important means of identifying genes with a desired function (ignoring the role of sequence similarity, which is no doubt the most-used GBA method; methods that use more complex network-based approaches are our focus here).

Extensions of the generalized least squares approach under the BM model use more complex matrices W.

Humans have evolved to use more complex tools.

Use more complex and technical diagnostic methods.

In this study we suggest a simple screening approach based on hierarchical clustering to identify bimodally expressed transcripts from microarray expression data that can be used alongside more complex approaches.