نتایج جستجو برای: ranking models

تعداد نتایج: 937834  

Journal: :JASIST 2014
Lutz Bornmann Félix de Moya Anegón

University rankings generally present users with the problem of placing the results given for an institution in context. Only a comparison with the performance of all other institutions makes it possible to say exactly where an institution stands. In order to interpret the results of the SCImago Institutions Ranking (based on Scopus data) and the Leiden Ranking (based on Web of Science data), i...

Journal: :international journal of industrial mathematics 0
s. ‎kordrostami department of mathematics, lahijan branch, islamic azad university, lahijan, ‎iran a. ‎amirteimoori‎ department of applied mathematics, rasht branch, islamic azad university, rasht, ‎iran‎. m. jahani sayyad ‎noveiri‎ department of mathematics, lahijan branch, islamic azad university, lahijan, ‎iran.

one of the major problems in data envelopment analysis (dea) is to determine the projection of inefficient decision making units (dmus) into the efficient frontier. in conventional dea models, inputs and outputs of inefficient dmus alter arbitrarily for reaching to the efficient frontier. nevertheless, sometimes the ability of dmus is defined and restricted. moreover, there are situations in th...

2010
Jing Bai Fernando Diaz Yi Chang Zhaohui Zheng Keke Chen

Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibility required of a commercial web search. However, manually labeled training data (with multiple absolute grades) has become the bottleneck for training a quality ranking function, particularly for a new domain. In this p...

2008
Sébastien Laurent Jeroen V.K. Rombouts Francesco Violante

A large number of parameterizations have been proposed to model conditional variance dynamics in a multivariate framework. This paper examines the ranking of multivariate volatility models in terms of their ability to forecast out-of-sample conditional variance matrices. We investigate how sensitive the ranking is to alternative statistical loss functions which evaluate the distance between the...

2014
Hossein Azari Soufiani David C. Parkes Lirong Xia

Rank breaking is a methodology introduced by Azari Soufiani et al. (2013a) for applying a Generalized Method of Moments (GMM) algorithm to the estimation of parametric ranking models. Breaking takes full rankings and breaks, or splits them up, into counts for pairs of alternatives that occur in particular positions (e.g., first place and second place, second place and third place). GMMs are of ...

2009
Yi Fang Aditya P. Mathur

In the realistic settings of expert finding, the evidence for expertise often comes from heterogeneous knowledge sources. As some sources tend to be more reliable and indicative than the others, different data sources need to receive different weights to reflect their degrees of importance. However, most previous studies in expert finding did not differentiate data sources, which may lead to un...

2014
Demetris Spanias

Professional singles tennis is a popular global sport that attracts spectators and speculators alike. In recent years, financial trading related to sport outcomes has become a reality, thanks to the rise of online betting exchanges and the everincreasing development and deployment of quantitative models for sports. This thesis investigates the extent to which the outcome of a match between two ...

Journal: :نظریه تقریب و کاربرد های آن 0
م ایزدیخواه دانشگاه آزاد اراک ز علی اکبر پور دانشگاه آزاد اراک ه شرفی دانشگاه علوم و تحقیقات تهران

envelopment analysis (dea) is a very e ective method to evaluate the relative eciency of decision-making units (dmus). dea models divided all dmus in two categories: ecient and inecientdmus, and don't able to discriminant between ecient dmus. on the other hand, the observedvalues of the input and output data in real-life problems are sometimes imprecise or vague, suchas interval data, ...

2015
Gabriele Capannini Domenico Dato Claudio Lucchese Monica Mori Franco Maria Nardini Salvatore Orlando Raffaele Perego Nicola Tonellotto

Ranking is a central task of many Information Retrieval (IR) problems, particularly challenging in the case of large-scale Web collections where it involves effectiveness requirements and efficiency constraints that are not common to other ranking-based applications. This paper describes QuickRank, a C++ suite of efficient and effective Learning to Rank (LtR) algorithms that allows high-quality...

Journal: :Animal : an international journal of animal bioscience 2018
S García-Ballesteros L Varona M Valera J P Gutiérrez I Cervantes

Ranking trait was used as a selection criterion for competition horses to estimate racing performance. In the literature the most common approaches to estimate breeding values are the linear or threshold statistical models. However, recent studies have shown that a Thurstonian approach was able to fix the race effect (competitive level of the horses that participate in the same race), thus sugg...

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