Sentence examples for the development of classification from inspiring English sources

The tariff system has driven the development of classification systems for care delivered in non-hospital settings.

Support vector machines (SVM) [33], GTM and probabilistic neural networks (PNN) [34] have been used for the development of classification models.

Another approach, which is the one this paper focuses on, relies on the development of classification algorithms based on a target image obtained from the multistatic radar measurements.

Students in the second course also completed a 4-item scale to assess the development of classification and functionality knowledge regarding elements of the program.

One of the main issues under investigation is the development of classification algorithms capable of maximizing specific accuracy measures based on precision and recall.

The role of the designer of any subsequent classifier or signal analyzer is associated with an inspection of some already visualized regions of the self-organizing map characterized by a significant level of data homogeneity and based on the discovered topology, make decisions as to the development of classification schemes.

Irrespective of the level of correlation between scientific and local maps, farmers' local classifications contained detailed pedological information that can contribute to the development of classifications systems that are both user-friendly and relevant for local needs.

The classification development group consisted of a perinatologist, a paediatrician, two registrars in obstetrics and gynaecology, a midwife researcher/epidemiologist, a primary care midwife, a perinatal pathologist, and a data manager, with various levels of experience in the development of classifications.

With the development of text classification, some researchers start to propose a text classification system based on synonym merging to improve the accuracy of classification.

The employment of multimodal classification on disorder-specific biological features has shed light to the development of potential classification tools that could aid diagnostic decisions.

For more complex cases, the target is the development of feature classification and feature extraction schemes.