Search results for "Ranking"

showing 10 items of 212 documents

New Flexible Probability Distributions for Ranking Data

2015

Recently, several models have been proposed in literature for analyzing ranks assigned by people to some object. These models summarize the liking feeling for this object, possibly also with respect to a set of explanatory variables. Some recent works have suggested the use of the Shifted Binomial and of the Inverse Hypergeometric distribution for modelling the approval rate, while mixture models have been developed for taking into account the uncertainty of the ranking process. We propose two new probabilistic models, based on the Discrete Beta and the Shifted-Beta Binomial distributions, that ensure much flexibility and allow the joint modelling of the scale (approval rate) and the shape …

Flexibility (engineering)RankingBinomial (polynomial)Computer scienceRank (computer programming)EconometricsProbability distributionScale (descriptive set theory)Discrete Beta Ranking data Shifted-Beta BinomialRanking data Discrete Beta Shifted-Beta BinomialMixture modelSettore SECS-S/01 - StatisticaHypergeometric distribution
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Ranking lists and European Framework Programmes: Does university status matter for performance in Framework Programmes?

2011

The operational context for higher education institutions has become increasingly competitive: universities have to compete on national and international markets for students, staff, funding and prestige. In this context, universities have increasingly become to think of themselves as actors who are in direct competition with others, and adapt their strategies to increase their status and survive in the new environment. The possibly best-known approach to measuring the status of universities is through the various ranking lists. Though focusing on different indicators like scientific performance or reputation, ranking lists can be considered as a mechanism for highlighting and even creating…

Framework Programmeranking-listauniversityrankingpuiteohjelmayliopistoperformancesuoriutuminen
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Static vs. dynamic liking in chewing gum: a new approach using a background task and a natural setting

2013

Fil: Galmarini, Mara Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Galmarini, Mara Virginia. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina Fil: Symoneaux, R. Universidad de Nantes Angers Le Mans; Francia Fil: Visalli, Michel. Centro de Ciencias de los Alimentos y el Sabor; Francia Fil: Zamora, María Clara. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina Fil: Zamora, María Clara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Schlich, Pascal. Centro de Ciencias de los Alimentos y el Sabor; Francia Abstract: Chewing gum is a particular product, consumed …

GOMA DE MASCAROtras Ingenierías y Tecnologías[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionCHICLEIn-home testDynamicSample (statistics)MASTICACIONimplicit memoryfood choiceINGENIERÍAS Y TECNOLOGÍASPreferenceTask (project management)Alimentos y BebidasCONSUMIDORES[SDV.IDA]Life Sciences [q-bio]/Food engineeringNatural (music)Product (category theory)real-lifeprimingConsumption (economics)InternetNutrition and DieteticsChewing gumPreference[SDV.AEN] Life Sciences [q-bio]/Food and NutritionRankingConsumersPsychologySocial psychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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2014

This paper investigates the proficiency of support vector machine (SVM) using datasets generated by Tennessee Eastman process simulation for fault detection. Due to its excellent performance in generalization, the classification performance of SVM is satisfactory. SVM algorithm combined with kernel function has the nonlinear attribute and can better handle the case where samples and attributes are massive. In addition, with forehand optimizing the parameters using the cross-validation technique, SVM can produce high accuracy in fault detection. Therefore, there is no need to deal with original data or refer to other algorithms, making the classification problem simple to handle. In order to…

GeneralizationApplied MathematicsProcess (computing)computer.software_genreFault detection and isolationSupport vector machineNonlinear systemComputingMethodologies_PATTERNRECOGNITIONRanking SVMBenchmark (computing)Data miningProcess simulationcomputerAnalysisMathematicsAbstract and Applied Analysis
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2014

The majority of next-generation sequencing short-reads can be properly aligned by leading aligners at high speed. However, the alignment quality can still be further improved, since usually not all reads can be correctly aligned to large genomes, such as the human genome, even for simulated data. Moreover, even slight improvements in this area are important but challenging, and usually require significantly more computational endeavor. In this paper, we present CUSHAW3, an open-source parallelized, sensitive and accurate short-read aligner for both base-space and color-space sequences. In this aligner, we have investigated a hybrid seeding approach to improve alignment quality, which incorp…

GeneticsMultidisciplinarySource codeHeuristic (computer science)business.industrymedia_common.quotation_subjectPipeline (computing)Sequence alignmentColor spaceBiologyRanking (information retrieval)SoftwarebusinessAlgorithmAlignment-free sequence analysismedia_commonPLOS ONE
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General Overview

2016

Il capitolo introduce alla tematica smart city attraverso un exscursus storico che ne traccia i passaggi salienti: la nascita delle politiche globali ambientali sino al livello della maturità raggiunto con il Protocollo di Kyoto (1997); poi ancora il Pacchetto Clima 20-20-20 redatto dalla Commissione Europea nel 2008 che traccia un'altro punto cruciale che prelude ai progetti e alle iniziative in ambito smart cities. La Strategia Energetica Europea al 2050 rappresenta il quadro di riferimento a cui tendere. Il capitolo si conclude con una rassegna dei sistemi di ranking più popolari e con una proposta di analisi. The chapter introduces to smart city issue through a historical excursus, whic…

Global enviromental policies smart cities ranking systemsPolitiche ambientali globali sistemi di ranking in ambito smart citySettore ICAR/21 - Urbanistica
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2018

The objective of this article is to study some of the intended and unintended effects on academe of the evolving global ranking game. I will start with some broader points on the global ranking gam...

Higher educationbusiness.industryEducational qualitymedia_common.quotation_subject05 social sciencesComputingMilieux_PERSONALCOMPUTING050301 educationPublic relations050905 science studiesEducationRanking (information retrieval)ExcellenceSociology0509 other social sciencesObjectificationComparative educationbusinessSymbolic power0503 educationReputationmedia_commonStudies in Higher Education
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Universities' Reporting on SDGs: Using THE Impact Rankings to Model and Measure Their Contribution to Sustainability

2021

Higher education institutions (HEIs) have voiced growing concerns about sustainability issues since Agenda 2030 was approved, but this is not enough for societal stakeholders seeking and delivering innovation and excellence. The 17 Sustainable Development Goals (SDGs) were adopted by all UN Member States in 2015 as a universal call to action, and pose a challenge for HEIs as for the efforts made to fulfill them and knowing how to assess their performance. However, the metric management system implemented by HEIs quickly led to rankings emerging, which compare HEIs to metrics not related to the sustainability dimensions of the 17 SDGs. The main aim of the paper is to assess the level of repo…

Higher educationmedia_common.quotation_subjectGeography Planning and DevelopmentTJ807-830Logistic regressionSustainable development goalsAccounting010501 environmental sciencesManagement Monitoring Policy and LawTD194-195university ranking:CIENCIAS ECONÓMICAS [UNESCO]01 natural sciencesRenewable energy sourcesExcellence0502 economics and businessGE1-350Higher educationLinear regression0105 earth and related environmental sciencesmedia_commonSustainable developmentGeographic locationEnvironmental effects of industries and plantsDescriptive statisticsRenewable Energy Sustainability and the Environmentbusiness.industrylogistic regression05 social sciencesUniversity rankingUNESCO::CIENCIAS ECONÓMICASgeographic location; higher education; linear regression; logistic regression; metric management model; sustainable development goals; university ranking sustainabilitysustainabilitysustainable development goalsmetric management modelCall to actionEnvironmental sciencesRankinggeographic locationhigher educationManagement systemSustainabilitylinear regressionECONOMIA FINANCIERA Y CONTABILIDADBusinessMetric management model04.- Garantizar una educación de calidad inclusiva y equitativa y promover las oportunidades de aprendizaje permanente para todos050203 business & management
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Screening Investments to Reduce the Risk of Hydrologic Failures in the Headwork System Supplying Apulia (Italy) – Role of Economic Evaluation and Ope…

2014

The paper introduces and applies a methodology to screen investments aimed at reducing water supply risks due to hydrologic failures in headwork systems for municipal use, based on the principles of cost-benefit analysis. As risk includes both the probability of a failure and its effect, the methodology combines a simulation module of the system, fed by a stochastic hydrologic input to reproduce the probability distribution of the failures, with a metric for supply failure damage provided by the price – demand relationship for municipal water. Benefits are assessed as the averted damage compared to a base case without investments. This approach is then combined with the classic discounted c…

HydrologyDroughtCost–benefit analysisbusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaWater supplyStochastic hydrologyRankingEconomic indicatorDemand curveWater transferEconomic evaluationCost-benefit analysiEconomicsProduction (economics)Metric (unit)business.Water resources systemWater Science and TechnologyCivil and Structural EngineeringWater Resources Management
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Measuring Uncertainty in the Portfolio Selection Problem

2018

In this paper, we propose a new index for ranking portfolios based on the credibility expected return and loss on their investment. We assume that the return on a given portfolio is modeled as a trapezoidal fuzzy variable, whose credibility distribution is built using the data set of its historical returns. The credibilistic loss on the investment for a given portfolio is measured by means of a suitable loss function. In order to take risk-adverse investor attitudes into account, we analyze the performance of some credibility measures related to loss and risk on the investment for a given portfolio and their relationship with similar possibility measures. A numerical example is presented sh…

Index (economics)Computer science05 social sciences050301 education02 engineering and technologyInvestment (macroeconomics)RankingOrder (exchange)Credibility0202 electrical engineering electronic engineering information engineeringEconometricsPortfolioExpected return020201 artificial intelligence & image processingStock market0503 education
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