Specifically, using the supervised assignments and HCNH or HCNH+HCCH NOEs, we obtained highly converged structural ensembles (>98%, computed over the core secondary structure regions) that are within 0.7 Å RMSD from the X-ray structure.
However, in the other 13 of 23 patients, BPND values in both the tumour and brain using the supervised cluster input function were consistently smaller than those calculated using the cerebellar input function.
The classification process is conducted using the supervised classification technique based on known 'training' sites.
For the results reported here using the supervised method, we only used unigrams as features.
I plan to revisit this project and use the supervised learning algorithm mentioned above to aid in the search for non-transiting hot Jupiters in Kepler systems.
Hence, in order to analyze the most probable sequences of five winds preceding a particular class of wind for the 6th day, we have used the supervised trained matrix (smoothed 3 times) and its 162×162 Kohonen map, with 1975 94 wind data and 10000 epochs, which corresponds to the neighbourhood matrix of Figure 4.
Using the classifier and a supervised learning procedure, samples were partitioned into one of the four molecular subtypes in datasets from The Cancer Genome Atlas (TCGA) (n = 476), Norway (n = 64) [22], [22] and the National Cancer Institute (n = 185) [25] (Figure 1A, Table S1).
The repeated updated data collected by well-trained and supervised fieldworkers using the same questions and coding, generates data with good individual and population validity and consistency.
The unsupervised learning from these data sets was done using the sparse autoencoders and a supervised softmax classifier was employed for the classification.
After the validity of the imputed data was confirmed, the tests were re-ranked using the global imputed dataset (supervised and unsupervised) using the same SNR method as for the measured data (Fig. 2).
