Sentence examples for in the context of supervised from inspiring English sources

These observations have led to the design of a system that automates the construction of high-level features in the context of supervised classification tasks.

Our view is that it is the most important parameter in the context of supervised training.

In the context of supervised multivariate classification method as SVM [ 22], individual brain scans were treated as points located at high-dimensional space defined by the ReHo map in the preprocessed images.

From this standpoint, a novel research line could be represented by an adaptation of test and select methods, originally proposed in the context of supervised ensembles [70] to appropriately choose the most predictive sources of evidence and gene networks for each MeSH disease through an adaptive learning process.

Note that the term 'sample' in the context of supervised learning refers to a feature vector derived from a pair of genes and their expression profiles, whereas a sample in an expression data set refers to the gene expression values for a single experiment, e.g. a gene knockout.

Even in the context of this supervised trial, between6%and13%13% of parents exceeded the maximum number of recommended doses in the first 24 hours.

Joint analysis is a standard approach to deal with missing data in the context of semi-supervised learning and can be performed by iteratively estimating the parameters by maximizing the PseudoLikelihood Function (PLF) using logistic regression as a first step and estimating the unknown function by optimizing the objective function of the MRF in the second step, till convergence is met [22].

A number of word representations have been evaluated also in the specific context of supervised sequential labeling tasks such as entity mention detection (Turian et al., 2010).

Despite the widespread recognition of the effectiveness of ADHD drugs in the context of a comprehensive and well-supervised course of treatment, concerns remain.

In the context of genomic prediction, the semi-supervised PCR may be more relevant when large differences exist between the genotypes of the reference and the test datasets.

The proposed architecture is then analyzed in the context of a set of representative information extraction problems, more specifically supervised and unsupervised channel equalization, and blind separation of convolutive mixtures.