Sentence examples for classification context from inspiring English sources

Several ANNs are applied in series allowing each ANN to use the classification context provided by the previous network to improve detection accuracy.

Efficient estimators are not designed specifically to be applied in a classification context, and thus suffer from further drawbacks and difficulties.

In a classification context, the study of synthetic data with partial redundancy or complementariness supports the idea that the difference between full and partial interaction is a matter of degree, not of kind.

In the simulation study, both the plasticity and performance of the novel neural network architecture are discussed within the pattern classification context through single and simultaneous multi-domain classification tasks.

Nonetheless, there is nothing in principle to prevent one from approximating the ideal model by devising |L| induced binary classifiers that can associate a given ligand with its set of potential target proteins – providing that the available training set D is appropriately transformed (for a detailed account of training set transformation in the multi-label classification context, see ref. [39]).

The benefit of allowing more lenient cutoffs is twofold: in a classification context it permits the discovery of more robust classifiers, and in a gene discovery context it enables the detection of genes with inconsistent aberrant expression.

This strategy has been applied to CTC over different classification contexts.

We took two classification contexts into account: the first concerned the comparison of CSF and UFM for CDS/intron classification and the second concerned the implementation of UFM in an algorithm that is compatible with ab initio gene-finding.

Classification of contexts is done using a classifier that is learned from a comprehensive training set of annotated context examples.

The proposed method combines the depth clue with traditional RGB information and is divided into three steps: depth recovery and superpixel generation, weakly supervised SVM classification and context-aware label transfer.

CTVBs are defined in a walk-past assessment of the house and represent a relative scale of property value within an area, but the absolute value depends on the estimated amount the property might have been sold for on the open market, making the classification locally context-specific.