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{{other uses|Ranking}} In [[statistics]], '''ranking''' is the [[data transformation (statistics)|data transformation]] in which ...

...used to solve certain [[ranking]] problems (via [[learning to rank]]). The ranking SVM algorithm was published by Thorsten Joachims in 2002.<ref>Joachims, T. ...e performance of an [[internet search engine]]. However, it was found that ranking SVM also can be used to solve other problems such as [[Rank SIFT]].<ref>Bin ...

...es of items, that includes all relations that can be deduced from the item-ranking and the independence assumption. ...bbp04>{{cite book|last1=Barberà, S., Bossert, W., Pattanaik, P. K.|chapter=Ranking sets of objects.|title=Handbook of utility theory|date=2004|publisher=Sprin ...

{{Short description|Measure of ranking quality}} '''Discounted cumulative gain''' ('''DCG''') is a measure of ranking quality in [[information retrieval]]. It is often normalized so that it is ...

...son=Should probably be "quasi-ordered set"?|date=August 2018}} A ''partial ranking'' <math>\le'</math> of <math>Q</math> is a [[well-founded]] [[partial order ...math>-array <math>g</math> is ''minimal bad'' (with respect to the partial ranking <math>\le'</math>) if there is no bad <math>Q</math>-array <math>f</math> s ...

Ranking gambles by mean-preserving spreads is a special case of ranking gambles by second-order [[stochastic dominance]] &ndash; namely, the specia ...

...l)|relevant]] results.<ref>{{Cite web |title=Google's Search Algorithm and Ranking System - Google Search |url=https://www.google.com/search/howsearchworks/al ...ergey Brin]] and [[Larry Page]] and it is a key part of Google’s method of ranking web pages in [[Search engine results page|search results]].<ref>{{Cite web ...

The '''Preference Ranking Organization METHod for Enrichment of Evaluations''' and its descriptive co ...oach, named Promethee,<ref name="Promethee">{{Cite news|title=A preference ranking organisation method: The PROMETHEE method for MCDM|author1=J.P. Brans |aut ...

...to come. It is a formalism of [[information retrieval]] useful to derive [[ranking function]]s used by [[search engine]]s and [[web search engine]]s in order ...

...multivariate model in the form of weighted sums of central F distribution functions and allows a general variance-covariance matrix for the items. ...of ''m'' options that has been ranked by ''n'' independent judges. Such a ranking can be represented by the ordering vector '''r_n''' = (r<sub>n1</ ...

...A_2, \dots, A_J</math>, evaluated according to the set of ''n'' criterion functions. The input data are the elements <math>F_{ij}</math> of the performance (de Step 1. Determine the best fi* and the worst fi^ values of all criterion functions, i = 1,2,...,n; ...

.... In order to generate a Janet basis for any given system of linear PDEs a ranking of its derivatives must be provided; then the corresponding Janet basis is ...ed here may be generalized in an obvious way to any number of variables or functions.<ref name="Schwarz2007">F. Schwarz, Algorithmic Lie Theory for Solving Line ...

* [[Preference (economics)|Preference relations]] - each voter has a ranking of the candidates. The relation can be ''strict'' or ''weak''. ''Strict'' m ...y Sen.<ref>{{Cite journal|last=Sen|first=Amartya K.|date=1971|title=Choice Functions and Revealed Preference|journal=The Review of Economic Studies|volume=38|is ...

...]] and [[Pareto efficient]]. Moreover, when the agents have linear utility functions, the CEEI allocation can be computed efficiently. A-CEEI only assumes that the agents know how to rank bundles of items. The ranking need not be [[weakly additive]] nor even monotone. ...

...e conference |last1=Shashua |first1=Amnon |first2=Anat |last2=Levin |title=Ranking with large margin principle: Two approaches |conference=[[Neural Informatio ...irst1=Koby |last1=Crammer |first2=Yoram |last2=Singer |title=Pranking with ranking |conference=NIPS |year=2001}}</ref> ...

...ise comparisons, the Bradley–Terry model can then be used to derive a full ranking of the wines. ...url=http://research.microsoft.com/pubs/154323/SzummerYilmaz-semisupervised-ranking-cikm11.pdf}}</ref> ...

...their beliefs – and ordinal consistency – players' beliefs yield the same ranking of expected payoffs as their choices. * '''Ordinal consistency:''' player’s beliefs yield the same ranking of expected payoffs as their choices. This replaces the rational expectatio ...

=== Statistical ranking and selection methods (R/S) === Ranking and selection methods are designed for problems where the alternatives are ...

...elation between {w,z} and {x,y}, between {x} and {y,z}, etc. Given an item-ranking: ...e according to ''all'' responsive bundle-rankings consistent with the item-ranking; ...

...ue=1|pages=1–19|doi=10.1007/bf02478336}}</ref> [[Web search engine|webpage ranking]],<ref>{{cite conference|url=http://dss.in.tum.de/files/brandt-research/pag ...journal|last=Fishburn|first=P. C.|year=1977|title=Condorcet Social Choice Functions|journal=SIAM Journal on Applied Mathematics|volume=33 |issue=3|pages=469–48 ...