Search results for "Ranking"

showing 10 items of 212 documents

What makes segmentation good? A case study in boreal forest habitat mapping

2013

Segmentation goodness evaluation is a set of approaches meant for deciding which segmentation is good. In this study, we tested different supervised segmentation evaluation measures and visual interpretation in the case of boreal forest habitat mapping in Southern Finland. The data used were WorldView-2 satellite imagery, a lidar digital elevation model (DEM), and a canopy height model (CHM) in 2 m resolution. The segmentation methods tested were the fractal net evolution approach (FNEA) and IDRISI watershed segmentation. Overall, 252 different segmentation methods, layers, and parameter combinations were tested. We also used eight different habitat delineations as reference polygons agains…

luokitus (toiminta)Watershedbusiness.industryComputer scienceSegmentation-based object categorizationta1172ta1171Scale-space segmentationImage segmentationMachine learningcomputer.software_genreRandom forestsegmentointiRankingGeneral Earth and Planetary SciencesSegmentationArtificial intelligencekaukokartoitusbusinessDigital elevation modelcomputerlidarlaserkeilausluokitusInternational Journal of Remote Sensing
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Testing a spectral-based feature set for audio genre classification

2011

Automatic musical genre classification is an important information retrieval task since it can be applied for practical purposes such as the organization of data collections in the digital music industry. However, this task remains an open question because the current state of the art shows far from satisfactory outcomes in terms of classification performance. Moreover, the most common algorithms that are used for this task are not designed for modelling music perception. This study suggests a framework for testing different musical features for use in music genre classification and evaluates the performance of this task based on two musical descriptors. The focus of this study is on automa…

mallintaminenComputingMethodologies_PATTERNRECOGNITIONpolyphonic timbremusic information retrievalmusiikkigenretsähköiset palvelutmusic genre classificationfeature rankingluokitus
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Multicriteria Decision Aiding for Planning Renewable Power Production at Moroccan Airports

2022

This study is about multicriteria decision aiding (MCDA) for the green airports program of the Moroccan Airport Authority ONDA. The goal of the program is to develop significant amounts of renewable power at airports. In particular, ONDA wants to select airports at which large solar and wind power parks should be built. Multiple criteria, including economy, technical feasibility, and environmental concerns, must be considered simultaneously. In this study, we apply Stochastic Multicriteria Acceptability Analysis (SMAA) for ranking the candidates to be developed into green airports. The analysis is conducted in phases with different sets of criteria. This study is the first application of MC…

multicriteria decision aidingenergiankulutus (energiateknologia)uusiutuvat energialähteetkestävä kehitysstokastinen monikriteerinen arvostusanalyysilentoliikenneACCEPTABILITY ANALYSISpäätöksentukijärjestelmätaurinkoenergiapartial rankingrenewable powertuulienergiaMODELgreen airportsSMAAlentokentät
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A comparative analysis of the sustainability of rice cultivation technologies using the analytic network process

2010

Sustainability of local farming systems and technologies is a very important issue that faces notorious measurement difficulties. Multi-criteria methods may help researchers to solve empirical problems in the construction of composite sustainability indicators and in ranking agricultural technologies according to their sustainability. This paper shows how a multi-criteria decision-making technique, the Analytic Network Process (ANP), can be fruitfully employed to this end. Contrary to simpler and hierarchical goal-criteria-alternative approaches, in ANP all the elements in the network can be related in any possible way, which means that a network can incorporate feedback and interdependent …

métodos de decisión multicriterioComputer sciencebusiness.industryAnalytic network processmedia_common.quotation_subjectEnvironmental resource managementranking of technologiesmulti-criteria decision methodsbiodiversidadInterdependenceecosistemasranking de tecnologíasRankingAgricultureSustainabilitySustainable designCultivation Systembiodiversity protectionSustainability organizationsbusinessecosystemsAgronomy and Crop Sciencemedia_common
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Does openness and open access policy relate to the success of universities?

2013

This study takes a closer look at the Ranking Web of Universities and Ranking Web of Repositories rankings and tries to examine if there is a connection between these two rankings. Study is done by analyzing the success of University of Jyväskylä and the institutional repository JyX of the University in these rankings. Comparison shows that the JyX archive plays an important role in University’s success especially when analyzing the presence and openness of the University. By analyzing the success of eight European countries in these rankings and cross reading these findings with the development of relative citation impact shown in a report by the Finnish Academy, some interesting common tr…

open accessUniversity of JyväskyläJyxbusiness.industrymedia_common.quotation_subjectLibrary and Information SciencesPublic relationsCitation impactComputer Science ApplicationsInstitutional repositoryuniversity rankingsRankingjulkaisuarkistotPolitical scienceReading (process)open access policyOpenness to experienceavoimuusRanking Web of RepositoriesbusinessRanking Web of UniversitiesInformation Systemsmedia_commonInformation Services & Use
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Tieteen avoimuus JY, Suomi, Ruotsi, Norja

2014

Kansallisia open access -linjauksia ja eri maiden julkaisuarkistokäytäntöjä vertaileva esitys. Esitetty 15.5.2014 Julkaisuiltapäivä-tapahtumassa (JY, Agora Aud2). nonPeerReviewed

open accessjulkaisuarkistotavoimuustiedeavoin tietoRanking Web of Universities
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Kilvoittelusta kilpailuun?: artikkelikokoelma korkeakoulututkimuksen juhlasymposiumista 25.-26.8.2008

2009

opintomenestyskorkeakoulupolitiikkakilpailukykyrankinglistatopiskelijavalinnattyömarkkinatkorkeakoulutustutkimustoimintatoimintaympäristövalmistuminenkoulutuspolitiikkaammattikorkeakoulutammatinvalintaakateeminen työvoimaopintojen kestodiskurssiSuomisäännötkorkeakoulutarvotmenestystekijätkorkeakoulupedagogiikkayliopistotkansainvälistyminentutkinnon suorittaneetverkostotopiskelijattyöllistyminenlaatuluokanopettajateläinlääketiedetutkinnottyöhönsijoittuminentoiminnan teoriatyytyväisyyskorkea-asteen koulutuskorkeakouluopiskelututkimuskilpailuikälukihäiriötarviointiopetussuunnitelmat
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ENSEMBLE METHODS FOR RANKING DATA

2017

The last years have seen a remarkable flowering of works about the use of decision trees for ranking data. As a matter of fact, decision trees are useful and intuitive, but they are very unstable: small perturbations bring big changes. This is the reason why it could be necessary to use more stable procedures, as ensemble methods, in order to find which predictors are able to explain the preference structure. In this work ensemble methods as BAGGING and Random Forest are proposed, from both a theoretical and computational point of view, for deriving classification trees when ranking data are observed. The advantages of these procedures are shown through an example on the SUSHI data set.

ranking data ensemble methods bagging random forestSettore SECS-S/01 - Statistica
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Ensemble methods for ranking data with and without position weights

2020

The main goal of this Thesis is to build suitable Ensemble Methods for ranking data with weights assigned to the items’positions, in the cases of rankings with and without ties. The Thesis begins with the definition of a new rank correlation coefficient, able to take into account the importance of items’position. Inspired by the rank correlation coefficient, τ x , proposed by Emond and Mason (2002) for unweighted rankings and the weighted Kemeny distance proposed by García-Lapresta and Pérez-Román (2010), this work proposes τ x w , a new rank correlation coefficient corresponding to the weighted Kemeny distance. The new coefficient is analized analitically and empirically and represents the main…

ranking databoostingweighted Kemeny distancebaggingSettore SECS-S/01 - Statisticalinear mixed modelensemble method
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Analiza zależności pomiędzy pozycją w rankingu "Diamenty Forbesa" a wzrostem wartości przedsiębiorstwa

2016

Position of companies in various rankings is dependent on many factors, often it is difficult to satisfy all requirements at the same time that the occupied position was one of the best. The analysis of the size of enter- prises in various countries confirms the trend: there is a lot of the small enterprises, and the big ones are the minority. Considering the rankings of firms by size of assets Zipf justified the relationship between the position in the ranking and the size of these assets. The aim of the article was to determine the relationship between the growth of the company and the position in the ranking. Studies have shown that it is possible to describe the dependence of growth ent…

rankingZipf's lawenterprise value
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