Sentence examples for ranking objects from inspiring English sources

PAV model transforms the problem of ranking objects into the problem of estimating probability parameters.

Arguably comparative judgement began when Fechner (1860) first introduced the psychophysical method which involved ranking objects of physical magnitude; this method was later investigated and extended by Thurstone (1927, 1954).

18) notes: "Much of what is ordinarily appealed to in ranking objects for amusement is…not obviously relevant to this issue [of comic evaluation]; for instance jokes that one may deplore as being 'in bad taste' (usually on moralistic grounds) are not thereby shown not to be extremely funny".

However, we recognize that approaches explored for ranking problems, including cumulative ordinal regression model from statistics perspective [42], perceptron learning [43], Gaussian processes model [44], support vector machines-based regression [45] [47], and classification approaches [48] [50], were mostly developed on ranking objects in the scope of whole training and testing data.

In the future, we plan to investigate scoring methods for ranking objects in order to further refine the quality of the results.

"We believe we're the first company that's able to run AI image clustering, face recognition, aesthetic ranking object and scene detection fast and efficient across entire user albums," says Sabri.

The barebones theory of rationality discussed above in Section 1.1 takes an agent's preferences (rankings of objects of choice) to be rational if they are complete and transitive, and it takes the agent's choice to be rational if the agent does not prefer any feasible alternative to what he or she chooses.

PAV explores object ranking in bibliographic information where objects are papers, authors and venues.

The interrogations were hastily organized, and strenuously resisted: many high-ranking officials objected on both moral and practical grounds.

The screening of a taboo-breaking movie was stopped in several cities, including Qom, Isfahan, Shiraz and Karaj, after high-ranking clerics objected, the Islamic Republic News Agency reported.

The list-wise approach takes ranking lists of objects as instances in learning and learns the ranking model based on ranking lists.