This observation has motivated substantial research on using a pool of binary classifiers to address multiclass problems.
In the present study, we have developed a QSPR model using a pool of 291 ILs using easily computable two-dimensional descriptors.
By using a pool of combination of features and random forest classifiers [32], we classify the unknown pixels and obtain fine-grained hand segmentations.
Using a pool of VPE mutants that contains every possible combinations of the 20 canonical amino acids, specific binders could be searched empirically [1, 3].
This research is conducted using a pool of commonly used features utilized in emotion recognition, such as fundamental frequency f 0, formants, energy, MFCC, Perceptual Linear Prediction (PLP), and LPC coefficients.
This research paper presents parametrization of emotional speech using a pool of common features utilized in emotion recognition such as fundamental frequency, formants, energy, MFCC, PLP, and LPC coefficients.
We refrained from using a pool of data from the therapy studies identified as "clinically relevant", as the small amount of studies for each active ingredient or fixed-dose combination differ too greatly in methodological terms in many cases.
Wherever possible, parallelizable calculations in Prismatic are divided into individual tasks and performed using a pool of CPU and GPU worker threads that asynchronously consume the work on the host or the device, respectively.
Training of the network is done using the Levenberg Marquardt (LM) method with generalization techniques such as early stopping and Bayesian regularization using a pool of training and validation data.
The minimal clinically important difference (MCID) for the quick Disabilities of the Arm, Shoulder and Hand (QDASH) has been established using a pool of multiple conditions, and only exclusively for the shoulder.
