It predicts the label of a sample using only a few hyperplanes.
A fourth scientist was responsible for counting colonies in each sample using only the random identifying codes.
Strand bias catalogs were derived for each sample using only substitutions identified in the transcribed regions of well-annotated protein coding genes.
At first, a bootstrap sample is drawn from the original data set, and a tree is trained on this bootstrap sample using only a subset of randomly selected predictors.
We analyzed the first 1 million reads mapped to chr1 for each sample, using only reads without any alignment indels or clipping (with a CIGAR string of '75 M' in the BAM file).
In order to replicate the findings of the discovery sample, we performed the same analysis in our replication sample, using only the significant findings from the discovery sample as regions of interest (ROIs) to apply a small volume correction (SVC) to the results using the MarsBar toolbox implemented in SPM5 (http://marsbar.sourceforge.net/).net/
To illustrate the utility of adding features not included in our previous models, these r 2 values were compared to those obtained when re-training the multiple linear regression coefficients on each bootstrap sample using only the features of either the context-only or the context+ model, and computing r 2 values on the corresponding test sets.
Keith has pioneered a Soil-Plant Spectral Diagnostics Laboratory at the Centre for high throughput analysis of soil and plant samples using only light (infrared, x-ray and laser spectroscopy).
Here, we propose matrix-free structured preconditioning techniques for AIIM via adaptive randomized sampling, using only the products of A and vectors to construct a hierarchically semiseparable matrix approximation to A. Several improvements over existing schemes are shown so as to enhance the efficiency and also avoid potential instability.
We considered observed errors in two steps: we considered what RMSE (predicted v. observed) was produced by the application of our LiDAR-to-carbon model in validation field plots, and what RMSE (predicted v. observed) was produced by our regional decision-tree model in the LiDAR samples used only for validation.
In this study the system was designed to test 4992 samples using only 122 tags.
