Sentence examples for free classification from inspiring English sources

(Remember, Twitter allows users to block followers, so no one forces a person or corporation to move from the free classification to the new, higher-follower paid classification).

Satellite and sensor Resolution and coverage or project area Costs for data acquisition Cost for analysis Total monitoring costs Source Optical, medium resolution sensors Landsat-5, TM 30 m, 180 × 180 km 0.02 US$/km2 – free Classification 0.12 0.31 US$/km2 Change detection 0.4 0.6 US$/km20.50 1.21 US$/km22 SARMAP pers.

That is why, in free classification tasks, changes due to age seem to operate in the opposite direction to what is usually observed in vision, since the young preferentially make dimensional classifications and not classifications by overall similarity.

Particles from untilted negative-stain and cryo-images were subjected to reference free classification followed by multiple rounds of correspondence analysis, k-means classification, and multi-reference alignment using SPIDER (Shaikh et al., 2008; Liao et al., 2013).

PrimerROC, this time using the length/GC adjusted dimer score, again out-performed all other tools in overall accuracy and dimer-free classification.

Within this framework, PrimerROC consistently out-performed all seven dimer tools in accuracy and dimer-free classification across all four primer sets (Fig. 7 and Supplementary Fig. S7).

Owing to the epistemological dependence of classifiers on the accuracy of their estimated errors, scientifically meaningful distribution-free classification in high-throughput, small-sample biology is an illusion.

While PerlPrimer out-performed Oligo 7 both in overall accuracy and dimer-free classification in the shorter 2 and 3 base pair fusion sets, Oligo 7 considerably out-performed PerlPrimer in the longer sets, particularly the 14 base pair fusion set.

The 2D reference-free classification of the particles from these two classes reveals that they lack the general defined shape of the 30S subunit (Fig. S2), suggesting they are a wide variety of heterogeneous particles, probably including low quality particles, aggregated particles, as well as very early-stage particles that are deficient in primary proteins in the 5′ and central domains.

Features ranging from speed to voice quality to pitch changes have been found to be correlated with pleasantness [20], which is why model-free classification using high-dimensional feature vectors is such a popular approach for emotion recognition (e.g., [21, 22]).

Producers don't need to spend anywhere near as much money as they would if they were raising free-range animals, and they can even charge more for the added value of the cage-free classification.