Search results for "rover"

showing 8 items of 368 documents

Is personality related to permanent earnings? Evidence using a twin design

2018

Using twin survey combined with register-based panel data on labor market outcomes, the authors examine the association between personality characteristics and long-term earnings among prime working-age individuals. The long-term earnings were measured over the 1990–2008 period. The sample contains 4,642 twin pairs, of which 53% are females. In contrast to previous studies, this paper uses the within-twin dimension of the data to control for shared family background and confounding genetic factors. The results suggest that unobserved genetic differences may introduce omitted variable bias in standard ordinary least square results. After controlling for shared environment and genetic backgro…

tulotlabor market outcomesEconomics and EconometricsSociology and Political Sciencemedia_common.quotation_subjectunobserved heterogeneitytulotaso050109 social psychologypalkat0502 economics and businessPersonality0501 psychology and cognitive sciences050207 economicsApplied Psychologymedia_commonkaksostutkimusta511ansiotasoExtraversion and introversionEarnings05 social sciencesOmitted-variable biaspersoonallisuusNeuroticismTwin studykaksosettwin studiesFacet (psychology)personalityDemographic economicsPsychologyearningsPanel dataJournal of Economic Psychology
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Application of artificial neural network and genetic algorithm to forecasting of wind power output

2007

tuulienergiagenetic algorithmforecastingneuroverkotwind powerartificial neural network
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DL_Track : Automated analysis of muscle architecture from B-mode ultrasonography images using deep learning

2023

B-mode ultrasound is commonly used to image musculoskeletal tissues, but one major bottleneck is data analysis. Manual analysis is commonly deployed for assessment of muscle thickness, pennation angle and fascicle length in muscle ultrasonography images. However, manual analysis is somewhat subjective, laborious and requires thorough experience. We provide an openly available algorithm (DL_Track) to automatically analyze muscle architectural parameters in ultrasonography images or videos of human lower limb muscles.
 We trained two different neural networks (classic U-net [Ronneberger et al., 2021] and U-net with VGG16 [Simonyan & Zisserman, 2015] pretrained encoder) one to detect …

ultrasoundconvolutional neural networkultraäänisyväoppiminenlihaksetGeneral MedicineneuroverkotU-netkoneoppiminenkuvantaminenmuscle architectureanalyysialgoritmitultraäänitutkimus
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Vanhemmuustyylien yhteys esiopetusikäisten lasten ongelmakäyttäytymiseen

2007

vanhempi-lapsisuhdevanhemmatongelmalapsetesikouluikäisetvanhemmuusintroversioekstroversioesiopetuslapsetkäyttäytymishäiriöt
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Identifying the Sales Patterns of Online Stores with Self-Organising Maps on Time Series Data

2018

Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse …

verkkokauppa (verkkoliiketoiminta)verkkokauppaaikasarjatbusiness-to-consumerkotitaloudetneuroverkotB2Conline storesself-organising mapssegmentointikuluttajakauppamyyntimallitsales patternskuluttajat
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Neuroverkkojen regularisointimenetelmät

2016

Ylisovitus on yleinen ongelma ohjatussa oppimisessa, missä malli oppii suoriutumaan hyvin oppimisessa käytetyllä datalla, mutta alisuoriutuu oppimisen aikana näkemättömällä datalla. Regularisointimenetelmillä pyritään vähentämään ylisovitusta ohjatun oppimisen sovellutuksissa. Tämä tutkielma keskittyy tutkimaan ja kartoittamaan erilaisia neuroverkoissa käytettyjä regularisointimenetelmiä. Overfitting is a common problem in supervised learning, where a model learns to perform well with the data used to train it, but underperforms with data it has not seen during the training. Regularization methods are used to reduce overfitting in applications of supervised learning. This paper focuses on r…

ylisovitusneuroverkotregularisaatio
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Gniew człowieka w Księdze Przysłów

2018

Artykuł jest poświęcony analizom wypowiedzi Księgi Przysłów na temat gniewu człowieka Po wstępnym przedstawieniu postawy gniewu człowieka autor ukazał zasadnicze słownictwo w postaci rzeczowników i czasowników, którymi posłużyli się mędrcy Izraela dla oddania tej trudnej rzeczywistości Następnie w drugiej części artykułu zostały omówione poszczególne sentencje, w których wzmiankowana jest reakcja gniewu Cechą charakterystyczną Księgi Przysłów jest ukazanie postaw ludzkich paralelnie, stąd każda z sentencji zawiera także sugerowaną postawę, jaką trzeba podjąć, aby nie ulec negatywnej skłonności gniewu i zapalczywości Częstotliwość podejmowanego zagadnienia, rozmaitość kontekstów społecznych,…

zapalczywośćwrathzłośćgniewindignationangerimpulsivenessKsięga Przysłówthe Book of ProverbsoburzenieVerbum Vitae
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Du passé faisons table rase ?, un vandalisme épistémologique ?

2014

La reception du livre de Jean Chesneaux (Du passe faisons table rase ?) par les historiens francais debouche sur le heurt de deux manieres de pratiquer l’histoire du mouvement ouvrier. L’une, academique, oppose a l’autre sa radicalite, son engagement. Celui-ci participerait d’un andalisme epistemologique. Revenir sur cette polemique restitue une part du paysage intellectuel de l’histoire dans la decennie 1970.

épistémologie[ SHS.HIST ] Humanities and Social Sciences/Historycontroversehistoire[SHS.HIST] Humanities and Social Sciences/Historypasséextrême gauchetable rasevandalisme épistémologique[SHS.HIST]Humanities and Social Sciences/HistoryComputingMilieux_MISCELLANEOUS
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