Sentence examples for unequal features from inspiring English sources

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Race and Revolution: Still Separate Still Unequal features mostly art made by teachers and a few students, offering searingly personal works.

For example, if you have a 4x6 (10 x 15cm) square, the result will be a lopsided piece with unequal features.

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Our experimental results indicate that optimal performance, achieved with unequal feature proportions, could be better than the performance obtained with the commonly used 50 50 feature proportion.

These unequal relationships feature emotional blackmail, domination of one over the other or a tacit struggle for dominance.

By adjusting this weight factor, we show that allocating unequal proportions to features from different biometric traits yields different matching performance.

We compared the averaged prediction accuracies for each class, by averaging the prediction accuracies of 3 initial feature (gene number) filtering methods including One-Way ANOVA, Kruscal Wallis and One-way ANOVA unequal variance, four feature selection algorithms including ChiSquare, GainRatio, Inforgain, and Relief, and 5 classification methods including J48, RF, NB, SL and SMO.

Some Tunisian women are saying that their existing rights, which already feature unequal inheritance rights, deriving from sharia, may in fact need defending from a winning group that the BBC has described as "Islamist".

To efficiently utilize the multi-bit rate feature, unequal protection (UEP) strategies can be considered for MGS packets, as each packet has a different priority in terms of its rate distortion (RD) attribute.

Zygospores of R. oryzae possess asymmetric suspensors of unequal size, a feature associated with azygospore production in R. stolonifer and R. azygosporus [3], [6], [18], [19].

Considering the observations that high- and low-pass portions of the intra-frame cepstral features possess unequal importance for noise-corrupted speech recognition, WS-HEQ is intended to reduce the high-pass components of the cepstral features.

Therefore, BART assigned unequal weights to the features in the normal and tumour, suggesting that the improved accuracy is due to treating the tumour and normal data differentially to optimize the contribution of the discriminant features.

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