Search results for "regres"
showing 10 items of 2935 documents
Social Collaborative Viewpoint Regression with Explainable Recommendations
2017
A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods for explainable recommendation apply topic models to analyze user reviews to provide descriptions along with the recommendations they produce. So far, such methods have neglected user opinions and influences from social relations as a source of information for recommendations, even though these are known to improve the rating prediction. In this paper, we propose a latent variable model, called social collaborative viewpoint regression (sCVR), for predicting item ratings based on user opinions and social relations. To th…
How news affect the trading behavior of different categories of investors in a financial market
2015
We investigate the trading behavior of a large set of single investors trading the highly liquid Nokia stock over the period 2003-2008 with the aim of determining the relative role of endogenous and exogenous factors that may affect their behavior. As endogenous factors we consider returns and volatility, whereas the exogenous factors we use are the total daily number of news and a semantic variable based on a sentiment analysis of news. Linear regression and partial correlation analysis of data show that different categories of investors are differently correlated to these factors. Governmental and non profit organizations are weakly sensitive to news and returns or volatility, and, typica…
The relationship between context, structure, and processes with outcomes of 6 regional diabetes networks in Europe
2018
BackgroundWhile health service provisioning for the chronic condition Type 2 Diabetes (T2D) often involves a network of organisations and professionals, most evidence on the relationships between the structures and processes of service provisioning and the outcomes considers single organisations or solo practitioners. Extending Donabedian's Structure-Process-Outcome (SPO) model, we investigate how differences in quality of life, effective coverage of diabetes, and service satisfaction are associated with differences in the structures, processes, and context of T2D services in six regions in Finland, Germany, Greece, Netherlands, Spain, and UK.MethodsData collection consisted of: a) systemat…
Perceived Opportunities for Physical Activity and Willingness to Be More Active in Older Adults with Different Physical Activity Levels
2021
This study examined equity in physical activity (PA) by investigating whether perceived opportunity for PA was associated with willingness to be more active. Among community residents (75, 80, or 85 years old, n = 962) perceived opportunity for PA (poor and good), willingness to be more active (not at all, a bit, and a lot), and level of PA (low, moderate, and high) were assessed via questionnaires. Multinomial logistic regression showed that physical activity moderated the association between poor opportunity and willingness to increase PA. Among those with moderate PA, poor opportunity for PA increased the odds of willingness to be a lot more active (multinomial odds ratio, mOR 3.90, 95% …
Labour market changes in Latvian economic sectors
2021
Covid-19 pandēmija skārusi gandrīz ikvienu, taču ir nozares, kuru darbība ir ierobežota vai pilnībā apturēta, tāpēc šī darba ietvaros tiek apskatītas darba tirgus izmaiņas Latvijas tautsaimniecības nozarēs laika periodā no 2008. – 2020.gadam. Darba mērķis ir izpētīt kurās tautsaimniecības nozarēs ir notikušas būtiskākās izmaiņas un salīdzināt tās ar tendencēm Eiropas Savienībā. Pētījuma pirmajā nodaļā tiek apskatīti jau iepriekš veikti pētījumi un publikācijas par darba tirgu gan Latvijā, gan citās valstīs. Otrajā daļā tiek salīdzināti dažādi darba tirgus rādītāji gan ar ES valstīm, gan starp nozarēm, trešajā nodaļā apskatītas nozaru maiņas gada laikā un veikta probit regresijas analīze, ka…
Transportlīdzekļu apdrošināšanas atlīdzību prognozēšana izmantojot dziļos neironu tīklus
2019
Lai apdrošināšanas produkti darbotos veiksmīgi, viens no būtiskākajiem faktoriem ir apdrošināšana risku izvērtēšana. Viena no risku izvērtēšanas sastāvdaļām ir iespējamo apdrošināšanas atlīdzības apmēra prognozēšana, balstoties gan uz apdrošinātā objekta raksturlielumiem, gan klienta parametriem un vēsturi. Šajā darbā tika apskatītas dziļo neironu tīklu tehnoloģiju pielietojums apdrošināšanas atlīdzību summu novērtēšanā un balstoties uz transportlīdzekļu apdrošināšanas atlīdzību datiem, tika izveidots un apmācīts dziļo neironu tīkla modelis. Tika izveidots risinājums, ar kura palīdzību var prognozēt apdrošināšanas atlīdzību rezervju lielumu nākamajiem periodiem, izmantojot klienta un apdroš…
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression
2020
Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed
High Frequency Data Acquisition System for Modelling the Impact of Visitors on the Thermo-Hygrometric Conditions of Archaeological Sites: A Casa di D…
2018
[EN] The characterization of the microclimatic conditions is fundamental for the preventive conservation of archaeological sites. In this context, the identification of the factors that influence the thermo-hygrometric equilibrium is key to determine the causes of cultural heritage deterioration. In this work, a characterization of the thermo-hygrometric conditions of Casa di Diana (Ostia Antica, Italy) is carried out analyzing the data of temperature and relative humidity recorded by a system of sensors with high monitoring frequency. Sensors are installed in parallel, calibrated and synchronized with a microcontroller. A data set of 793,620 data, arranged in a matrix with 66,135 rows and …
Testing explosive bubbles with time-varying volatility: the case of Spanish public debt
2023
In this paper the dynamics of the Spanish public debt-GDP ratio is analysed during the period 1850–2021. We use recent procedures to test for explosive bubbles in the presence under time- varying volatility (Harvey et al., 2016; Harvey et al., 2019, 2020; Kurozumi et al., 2022) in order to test the explosive behavior of Spanish public debt over this long period. We extend previous analysis of Esteve and Prats (2022) where assume constant unconditional volatility in the underlying error process.
Musurgia Naturalis
2009
La musurgia universalis può dividersi in naturalis (suoni e rumori della natura, folklore vocale) e musurgia artificialis (suoni e rumori non intenzionali causati dal lavoro umano, tutta la musica strumentale e la musica d'arte). La musica dei Pigmei Ba-Benzele come esempio di musica affatto naturale. La musica di due compositori contemporanei come musica artificiale, ma germinante dalla natura: vegetale quella di Giovanni Damiani; animale/umana quella di Federico Incardona.