A Constant-Factor Approximation for Generalized Malleable Scheduling under M#-Concave Processing Speeds
status: published
Hellinger distance decision trees for PU learning in imbalanced data sets
status: Published online
The condition number of singular subspaces, revisited
status: published
Data-driven communicative behaviour generation : a survey
The development of data-driven behaviour generating systems has recently become the focus of considerable attention in the fields of human-agent interaction and human-robot interaction. Although rule-based approaches were dominant for years, these proved inflexible and expensive to develop. The difficulty of developing production rules, as well as ...
Simultaneous close-contact melting on two asymmetric surfaces : demonstration, modeling and application to thermal stora...
The present study deals with melting in a geometry suitable for Latent-Heat Thermal Energy Storage (LHTES) systems, which are of importance for future industrial installations utilizing solar energy or waste heat. The intrinsically high thermal resistance of phase-change materials (PCM) can be remedied by taking advantage of close contact melting (...
Evaluating ensemble learning in developing pedotransfer functions to predict soil hydraulic properties
Though traditional pedotransfer functions (PTFs) commonly meet the requirements for predicting soil hydraulic properties, their oversimplified models and the multicollinearity associated with limited soil input features compromise the accurate representation of the relationships between structure and function of soil pore space. To address these ch...
A review of software solutions to process ground-based point clouds in forest applications
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Purpose of ReviewIn recent years, the use of 3D point clouds in silviculture and forest ecology has seen a large increase in interest. With the development of novel 3D capture technologies, such as laser scanning, an increasing number of algorithms have been developed in parallel to process 3D point cloud data into more tangible results for forestr...
Computer vision and machine learning approaches for metadata enrichment to improve searchability of historical newspaper...
Purpose: Historical newspaper collections provide a wealth of information about the past. Although the digitization of these collections significantly improves their accessibility, a large portion of digitized historical newspaper collections, such as those of KBR, the Royal Library of Belgium, are not yet searchable at article-level. However, rece...
The impact of dynamic learning and training on the personnel staffing decision
This paper studies the personnel staffing decision accounting for the planning of workforce training and the inclusion of learning and forgetting, which dynamically change the workforce skill level, influencing the required staffing budget. This contrasts staffing models presented in literature, which determine the required number of workers under ...
An evaluation of non-iterative estimators in confirmatory factor analysis
In confirmatory factor analysis (CFA), model parameters are usually estimated by iteratively minimizing the Maximum Likelihood (ML) fit function. In optimal circumstances, the ML estimator yields the desirable statistical properties of asymptotic unbiasedness, efficiency, normality, and consistency. In practice, however, real-life data tend to be f...
