Sentence examples for purpose classification from inspiring English sources

Table 1 Delphi method in business: a purpose classification Subject area Study authors Year Country / Panel Expert no.

A disaggregate activity purpose classification including both in-home and out-of-home activity pursuits is used because of the travel demand relevance of out-of-home pursuits, as well as to examine both mobility-related and general time-use related social exclusion and time poverty issues.

For this purpose, classification analyses were performed using the raw data from the relative quantification analysis of the performed in vitro assay compared to the clinical outcome.

In addition, several conventional general-purpose classification methods, k-Nearest Neighbors (kNN) [40], Back Propagation neural network (BP) [41], C4.5 decision tree [42], Support Vector Machine (SVM) [43], Adaptive Network based Fuzzy Inference System (ANFIS) [44], as well as ranking based approaches are included, such as Ranking SVM [25], RankBoost [26], and RankNet [27].

These include the analysis of common signature purposes in workflow, classification of these purposes, classification of modes of decision making associated with these signature purposes, signing and validation requirements for handling these signature purposes, and finally an architecture to be incorporated in workflow engines for handling these signature purposes.

For descriptive purposes, classification systems are established for aggregating attribute levels into none/mild (0.89 to 1.00), moderate (0.70 to 0.88) and severe (less than 0.70) [ 18].

Because typologies invariably use ordering for additional purposes, classifications can be regarded as typologies that are limited to the problem of order.

The purpose of classification is to allow fair competition between people with different types of disability.

Purpose: Molecular classification of gliomas is a major challenge in the effort to improve therapeutic decisions.

This article presents a general methodology for processing non-stationary signals for the purpose of classification and localization.

For the purpose of classification, different models of LS-SVM were constructed while tuning the kernel parameters automatically and manually.