Sentence examples for simulated blocks from inspiring English sources

Based on these statistics, it is concluded that such an error floor is due to most of the simulated blocks having a low number of symbols in error, rather than few blocks with errors in most of their constituent symbols.

Two quite impressive systems that exemplified such a methodology were shrdlu (Winograd 1972) and Lunar (Woods et al. 1972), which contained sophisticated proceduralized grammars and syntax-to-semantics mapping rules, and were able to function fairly robustly in their "micro-domains" (simulated blocks on a table, and a lunar rock database, respectively).

We measure the specificity of the predicted blocks by computing the proportion of genes from all reported alignments or clusters that are also located in simulated blocks.

For example with chromosome 18, the four gamete rule and Gabriel et al. did not define haplotypes for simulated blocks 0, 2, 5, or 6.

For chromosome 1 (figure 4), note the differences for blocks 3 and 4. The four gamete rule (4a) and the Gabriel et al. method (4b) call these two blocks as one larger block, and the four gamete rule seems more prone to produce a truncated block that does not include both the simulated blocks.

The 160 pairs of values of fitted σ values from the two simulated blocks were then compared to the observed difference between the control and the biased blocks to find the percentage of simulated differences having a larger absolute value than the observed difference.

At this point it is worth mentioning that the rationale behind concatenating the BCH code with the LDGM code lies on the statistics of the errors per simulated block, as the simulation results in Section 4 will clearly show.

If other PKA targets are essential for the microdomain, simulated block of PKA phosphorylation will not eliminate the microdomain because the simulation described here does not include these other PKA targets.

This methodology can classify any polyhedra and has been developed and calibrated based on synthetic joint data and simulated block assemblies.

This sequence is re-arranged by the algorithm, which selects the blocks that will form the pile of each simulated block model, and simulates the operation of the stacking and reclaiming equipment.

AIDE was able to recover functional events from simulated fNIRS data with an accuracy of 89%, 97% and 91% for the simulated block-, event-related and mixed-design experiments respectively.