Search results for "Election"

showing 10 items of 2159 documents

Comparative transcriptomics of albino and warningly‐coloured caterpillars

2021

Abstract Coloration is perhaps one of the most prominent adaptations for survival and reproduction of many taxa. Coloration is of particular importance for aposematic species, which rely on their coloring and patterning acting as a warning signal to deter predators. Most research has focused on the evolution of warning coloration by natural selection. However, little information is available for color mutants of aposematic species, particularly at the genomic level. Here, I compare the transcriptomes of albino mutant caterpillars of the aposematic wood tiger moth (Arctia plantaginis) to those of their full sibs having their distinctive orange‐black warning coloration. The results showed >29…

suojautuminenvaroitusväri0106 biological sciencesZoologyContext (language use)Aposematismmelaniinit010603 evolutionary biology01 natural sciencesPredationMelanin03 medical and health sciencesmedicineaposematismgeeniekspressioArctia plantaginisCaterpillarGeneQH540-549.5Ecology Evolution Behavior and SystematicsOriginal Research030304 developmental biologyNature and Landscape Conservation0303 health sciencesgeenitNatural selectionEcologybiologyfungimedicine.diseasebiology.organism_classificationmelaninalbinismigene expressionAlbinismEcology and Evolution
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Camouflage accuracy in Sahara-Sahel desert rodents

2020

1.Camouflage helps animals to hide from predators and is therefore key to survival. Although widespread convergence of animal phenotypes to their natural environment is well established, there is a lack of knowledge about how species compromise camouflage accuracy across different background types in their habitat. 2.Here we tested how background matching has responded to top‐down selection by avian and mammalian predators using Sahara‐Sahel desert rodents in North Africa. 3.We show that the fur coloration of several species has become an accurate match to different types of desert habitats. This is supported by a correlation analysis of colour and pattern metrics, investigation of animal‐t…

suojaväriaavikotDipodinaeluonnonvalintajyrsijätvision modelQCPAbackground matchingGerbillinaetop‐down selectiongerbiilitdesert
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The Eurasian Treecreeper (Certhia familiaris) has an effective camouflage against mammalian but not avian vision in boreal forests

2022

A well-known example of visual camouflage in birds is the plumage coloration of the Eurasian Treecreeper Certhia familiaris, yet this species’ camouflage has never been objectively quantified. Here, we quantify treecreeper camouflage in its boreal forest habitat, test whether treecreepers better match tree backgrounds at nest site, territory or habitat spatial scales, and explore which common tree species provide the best background match. Using photographic data of the birds and forested backgrounds, we test their background match using human, ferret and avian vision modelling. We found that a treecreeper’s wing and mantle provided closest background matching, whereas the wing stripe and t…

suojavärihabitat selectionhabitaattivision modelQCPAbackground matchingpuulajitpuukiipijä (laji)
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Automatic surrogate modelling technique selection based on features of optimization problems

2019

A typical scenario when solving industrial single or multiobjective optimization problems is that no explicit formulation of the problem is available. Instead, a dataset containing vectors of decision variables together with their objective function value(s) is given and a surrogate model (or metamodel) is build from the data and used for optimization and decision-making. This data-driven optimization process strongly depends on the ability of the surrogate model to predict the objective value of decision variables not present in the original dataset. Therefore, the choice of surrogate modelling technique is crucial. While many surrogate modelling techniques have been discussed in the liter…

surrogate modellingOptimization problemexploratory landscape analysisbusiness.industryComputer scienceautomatic algorithm selection0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesmonitavoiteoptimointiSurrogate modeloptimointi010201 computation theory & mathematicsalgoritmit0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessClassifier (UML)computer
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A comparison between two feature selection algorithms

2017

This article provides a comparison of two feature selection algorithms, Information Gain Thresholding and Koller and Sahami's algorithm in the context of text document classification on the Reuters Corpus Volume 1 dataset. The algorithms were evaluated by testing the performance of classifiers trained on the features they select from a given dataset. Results show that Koller and Sahami's algorithm consistently outperforms Information Gain Thresholding by capturing interactions between features and avoiding redundancy among features, although it achieves its gains through increased complexity and longer running time.

symbols.namesakeTruncation selectionRedundancy (information theory)Computer scienceFeature extractionsymbolsMarkov processFeature selectionAlgorithm designThresholdingAlgorithmRunning time2017 21st International Conference on System Theory, Control and Computing (ICSTCC)
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Model selection using limiting distributions of second-order blind source separation algorithms

2015

Signals, recorded over time, are often observed as mixtures of multiple source signals. To extract relevant information from such measurements one needs to determine the mixing coefficients. In case of weakly stationary time series with uncorrelated source signals, this separation can be achieved by jointly diagonalizing sample autocovariances at different lags, and several algorithms address this task. Often the mixing estimates contain close-to-zero entries and one wants to decide whether the corresponding source signals have a relevant impact on the observations or not. To address this question of model selection we consider the recently published second-order blind identification proced…

ta112Series (mathematics)Estimation theoryModel selectionasymptotic normalitypattern identificationAsymptotic distributionInformation Criteriaoint diagonalization SOBI AsympBlind signal separationMatrix (mathematics)Control and Systems EngineeringSOBISignal Processingjoint diagonalizationComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringAlgorithmSoftwareMixing (physics)MathematicsSignal Processing
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Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music

2011

Classification of musical audio signals according to expressed mood or emotion has evident applications to content-based music retrieval in large databases. Wrapper selection is a dimension reduction method that has been proposed for improving classification performance. However, the technique is prone to lead to overfitting of the training data, which decreases the generalizability of the obtained results. We claim that previous attempts to apply wrapper selection in the field of music information retrieval (MIR) have led to disputable conclusions about the used methods due to inadequate analysis frameworks, indicative of overfitting, and biased results. This paper presents a framework bas…

ta113Acoustics and UltrasonicsComputer sciencebusiness.industryDimensionality reductionEmotion classificationFeature selectionOverfittingMachine learningcomputer.software_genreNaive Bayes classifierFeature (machine learning)Music information retrievalGeneralizability theoryArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerIEEE Transactions on Audio, Speech, and Language Processing
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Schemata, Acculturation, and Cognition : Expatriates in Japan's Software Industry

2016

This multiple case based empirical study expands the knowledge around North American software and IT workers in Japan as well as the expatriate literature and discussion of cognitive schemata in cross cultural settings. The study includes eleven individuals, nine of them in software. Evidence of selection, rejection, and adjustment of cognitive schemata found in Japan's business world is presented. Changes in schemata drive cultural adjustment and acculturation. North American software and IT workers in Japan must maneuver through unfamiliar and often complex schemata to motivate, lead, manipulate, and communicate with coworkers and partners and thereby gain success.

ta113Knowledge managementExpatriatebusiness.industryComputer science05 social sciences050209 industrial relationsContext (language use)Cognitioncognitive schemataAcculturationexpatriatesEmpirical researchJapansoftware businessCultural diversity0502 economics and businessSelection (linguistics)Cross-culturalbusinessSocial psychologyta512acculturation050203 business & management
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Selection of the Proper Revenue and Pricing Model for SaaS

2014

Recent research on software revenue and pricing models has revealed important ways in which firms can benefit from software renting. However, it is still unclear how SaaS providers select a proper revenue and pricing model to make their services attractive for customers. Based on 32 interviews with software professionals from four case firms, this study reveals how different factors impacted on the selection of a revenue and pricing model. It can be concluded that customers’ needs were the main driving force to the selection of the most appropriate pricing and revenue model in the market. peerReviewed

ta113TheoryofComputation_MISCELLANEOUSbusiness.industryComputer scienceSoftware as a servicecloud computingCloud computingSaaSRentingSoftwareRevenue modelrevenue modelsRevenueYield managementbusinesssoftware pricingSelection (genetic algorithm)Industrial organization2014 IEEE 6th International Conference on Cloud Computing Technology and Science
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Turing's error-revised

2016

Many important lines of argumentation have been presented during the last decades claiming that machines cannot think like people. Yet, it has been possible to construct devices and information systems, which replace people in tasks which have previously been occupied by people as the tasks require intelligence. The long and versatile discourse over, what machine intelligence is, suggests that there is something unclear in the foundations of the discourse itself. Therefore, we critically studied the foundations of used theory languages. By looking critically some of the main arguments of machine thinking, one can find unifying factors. Most of them are based on the fact that computers canno…

ta113computationClass (set theory)modelformal language02 engineering and technologyconsciousnessArgumentation theoryEpistemologyTuring machineTuring machinesymbols.namesake020204 information systemsFormal language0202 electrical engineering electronic engineering information engineeringsymbolsSelection (linguistics)020201 artificial intelligence & image processingSociologyConstruct (philosophy)TuringcomputermindNatural languagecomputer.programming_languageInternational Journal of Philosophy Study
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