Sentence examples for ranking formulation from inspiring English sources

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The ranking formulation is a variant of classification and regression formulation, in which the ordering present in class labels namely, the shift between patches is explicitly taken into account.

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There are lies, damn lies and then there are the world rankings, a mathematical formulation that would have us believe on the eve of the 2010 PGA Championship at Whistling Straits, as it would on the eve of any major championship, that the most likely winner is the player ranked No1.

The participation of students in this web site has been overwhelming, and it has been estimated that 7,000,000 evaluations were considered in the formulation of the rankings included in this ranking.

The main outcomes described in this paper are the following: the formulation of the genome ranking problem, presentation of relevant approaches to solve it, and the demonstration of preliminary results from prokaryotic genomes ordering.

The main outcomes described in this paper are the following: the formulation of the genome ranking problem, presentation of relevant methodologies to solve it, and demonstration of preliminary results from prokaryotic genomes ordering.

Hence, we present the corrected formulation of the genome ranking problem: given a set of prokaryotic genomes, a set of genes from a given gene family (GF), and the gene lengths of each genome-GF pair, the genome ranking problem is to rate each prokaryotic genome according to its gene lengths.

Given its general formulation, solutions of rank learning normally apply a search method guided by some ranking evaluation function.

A mixture design was used to generate 27 different combinations of ingredients that were evaluated in a ranking test to select the most preferred formulations.

While the past decade has seen a proliferation of university ranking systems, several aspects in the design of most ranking systems make them inappropriate to benchmark performance in a way that supports formulation of effective institutional research strategy.

Most existing works, unlike our formulation, propose a 2-stage model - a heuristic item ranking scheme on top of an existing collaborative filtering technique.

The novelty of this work is the formulation of the problem of subpixel motion estimation in a ranking framework.

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