1,724,844 research outputs found
Experimental findings in machine learning methods development
This work describes the results obtained by applying a machine learning method based on cluster analysis applied to a database of data that simulates an industrial production process. The topic is pattern recognition, and the method is compared to other 7 methods from literature: Classification and Regression Trees; C4.5; PART; Bagging CART; Random Forest; Boosted C5.0; Support Vector Machines
Experimental finding with a linear congruential generator variant
Questo lavoro riporta i risultati di un'indagine sull'influenza del fattore tempo nella generazione di numeri casuali. A partire da un lavoro di letteratura, è stata eseguita una modifica nell'algoritmo di base di un generatore congruenziale lineare (GCL), ottenendo i risultati presentati nel seguito. qnrgvar.rand è il nome temporaneo assegnato all'algoritmo.This work reports the results from an investigation on the influence of time factor in random number generation. Starting from a literature work, a modification in the basic algorithm of a linear congruential generator (LCG) was performed, obtaining the results presented in the follows. qnrgvar.rand is the temporary name assigned to the algorithm
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
On uncertainty estimation in energy and environmental statistics. An anti-fragile approach
L'incertezza nelle statistiche energetiche e ambientali è un fattore critico nel supporto decisionale nelle politiche energetiche. In questo lavoro è proposto un metodo per la stima di dati provenienti da diverse fonti statistiche a partire da una discussione sul la natura dell'incertezza e il problema del cigno nero. Il metodo proposto viene poi applicato ad un problema ambientale utilizzando il concetto di anti-fragilità, per migliorare i sistemi di supporto alle decisioni nell'analisi di politica energetica.Uncertainty in energy and environmental statistics is a major issue in decision support to policy making. The need for timely and reliable statistics boosts the search for methods that reduce error in estimation. In this work, a method for estimating the uncertainty of energy and environmental statistics coming from different statistical sources is outlined, using as a framework a discussion on nature of uncertainty and the Black Swan problem is also outlined. The proposed method is then applied to an environmental problem using the concept of anti-fragility, to improve the decision support systems in energy policy analysis
A tool to measure energy consumption and emissions from changes in mobility patterns related to remote work
Il presente documento descrive struttura e funzionamento di un software sviluppato per il calcolo dei consumi di energia e delle emissioni di sostanze inquinanti legati a cambiamenti nella mobilità conseguenti da mutamenti nell'assetto lavorativo (smartworking). Partendo dal problema iniziale a cui fornire soluzione, il documento illustra il contesto operativo in cui il tool è stato messo a punto, descrive i dati utilizzati come input e mostra l'essenziale del funzionamento del programma.This document describes the structure and features of a software developed for the calculation of energy consumption and emissions related to mobility demand resulting from remote work adoption. The document illustrates the operational context in which the tool was developed, describes the data used as input and shows some basic concepts about how the program is made and how it works
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