Sentence examples for bottom classification from inspiring English sources

Although some open literature suggests that such top or bottom classification might be possible, purpose designed experimental results presented here show that there is a very high similarity between signals belonging to top and bottom defects which suggests such discrimination is not viable using standard MFL based techniques.

On top, the quantile quantile plot of posterior classification probabilities under the Beta 9.7,0.3) hyperprior versus those obtained under the uniform hyperprior and on the bottom versus those obtained under the more spread Beta 9,1) hyperprior.

Some of these representations have been used to construct bottom-up classifications of the "metabolome" [ 21], but this pioneering and interesting work has some drawbacks.

The main problem for constructing bottom-up classifications of metabolic phenomena may be that there is no standard way of quantifying similarities among chemical compounds and, more especially, metabolic reactions, in contrast to protein sequences and structures.

The distributions of the average scores follow intuitively sensible patterns across major groups: the scores are highest in major groups 1, 2, and 3 and lowest in major groups at the bottom of the classification.

Using either masks around the PS1 subunit (top row) or the entire transmembrane domain (bottom row), masked classification with signal subtraction revealed only a single majority class (pink) that showed good density for the transmembrane helices (corresponding to 23%and26%6% of the particles, respectively).

Figure 8 (a-b) Precision (a, top) and code index (b, bottom) of top classifications of 13 long sequence sets obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).

Figure 6 (a-b) Precision (a, top) and code index (b, bottom) of top classifications of 13 short sequence sets obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).

Figure 17 (a-b) Precision (a, top) and code index (b, bottom) of top classifications of 12 organisms obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).

Figure 18 (a-c) WL index (a, top), threshold index (b, middle), and threshold value (c, bottom) of top classifications of 12 organisms obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).

Figure 7 (a-c) WL index (a, top), threshold index (b, middle), and threshold values (c, bottom) of top classifications of 13 short sequence sets obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).