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Now showing items 1-10 of 2023
An extensive evaluation of decision tree-based hierarchical multilabel classification methods and performance measures
(Wiley-BlackwellMalden, 2015-02)
Hierarchical multilabel classification is a complex classification problem where an instance can be assigned to more than one class simultaneously, and these classes are hierarchically organized with superclasses and ...
Hierarchical determinants of capital structure
(ELSEVIER SCIENCE BV, 2011)
We analyze the influence of time-, firm-, industry- and country-level determinants of capital structure. First, we apply hierarchical linear modeling in order to assess the relative importance of those levels. We find that ...
Refinable spaces and local approximation estimates for hierarchical splines
(Oxford University Press, 2017-07)
We study the local approximation properties in hierarchical spline spaces through multiscale quasi-interpolation operators. This construction suggests the analysis of a subspace of the classical hierarchical spline space ...
Understanding the Socioeconomic Status of International Immigrants in Chile Through Hierarchical Cluster Analysis: a Population-Based Study
(The Authors. International Migration © 2013 IOM, 2015)
Immigration to Chile is not large (just under 2% of the total population) but has increased in recent years. This study aimed to analyse the socioeconomic status (SES) of immigrants in Chile and compare it with the ...
HIERARCHICAL AND NON-HIERARCHICAL CLUSTERING AND ARTIFICIAL NEURAL NETWORKS FOR THE CHARACTERIZATION OF GROUPS OF FEEDLOT-FINISHED MALE CATTLE
(Inst Zootecnia, 2015-01-01)
The individual experimental results of 1,393 feedlot-finished cattle of different genetic groups obtained at different research institutions were collected. Exploratory multivariate hierarchical analysis was applied, which ...
Hierarchical multi-label classification using local neural networks
(ElsevierAcademic PressSan Diego, 2014-02)
Hierarchical multi-label classification is a complex classification task where the classes involved in the problem are hierarchically structured and each example may simultaneously belong to more than one class in each ...
Hierarchical Bayesian Model for Estimating Spatial-Temporal Photovoltaic Potential in Residential Areas
(2018-04-01)
This paper presents a Bayesian hierarchical model to estimate the spatial-temporal photovoltaic potential in residential areas. The proposed model offers a probabilistic approach that uses technical criteria of planners ...
HiPP: A Novel Hierarchical Point Placement Strategy and its Application to the Exploration of Document Collections
(IEEE COMPUTER SOC, 2008)
Point placement strategies aim at mapping data points represented in higher dimensions to bi-dimensional spaces and are frequently used to visualize relationships amongst data instances. They have been valuable tools for ...