Axis 1: Data valuation for decision making
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407 results — page 5 of 21
Given \(n\)
points, a symmetric dissimilarity matrix \(D\)
of dimensions \(n\times n\)
and an integer \(p\geq 2\)
, the \(p\)
-dispersion problem (pD...
We are witnessing an acceleration in the uptake of renewable energy in power systems. Because of the associated variability and uncertainty of renewables, ...
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Recommender systems make use of different sources of information for providing users with recommendations of items. Such systems are often based on collabor...
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Operations Research (OR) has a very important role to play in credit scoring for building models that can help the lending organization to make a good decisi...
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Algorithms for finding sparse solutions of underdetermined systems of linear equations have been the subject of intense interest in recent years, sparked b...
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In this paper, we propose an intuitive way to couple several dynamic time series models even when there are no innovations. This extends previous work for m...
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The airline crew scheduling problem involves determining schedules for airline crew members such that all the scheduled flights over a planning horizon (usua...
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This paper investigates the current patient transportation between services in a large hospital and provides a simulation-optimization solution to reduce com...
BibTeX referenceA new computational model of high-order stochastic simulation based on spatial Legendre moments
Multiple-point simulations have been introduced over the past decade to overcome the limitations of second-order stochastic simulations in dealing with geolo...
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A new non-stationary, high-order sequential simulation method is presented herein, aiming to accommodate complex curvilinear patterns and high-order spatia...
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High-order sequential simulation methods have been developped as an alternative to existing frameworks to facilitate the modelling of spatial complexity of...
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In this paper, we develop algorithmic approaches for a recently defined class of games, the integer programming games. Two general methods to approximate an...
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Top-tier customers -that is, those 20% of customers that typically bring in 80% of all profits- are extremely valuable to companies. In the many instances ...
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Genetic algorithms are used for feature selection through a fitness function that drives the evolution of populations. With parallel universes, an importance...
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The eccentric connectivity
index of a connected graph \(G\)
is the sum over all vertices \(v\)
of the product \(d_G(v)e_G(v)\)
, where \(d_G(v)\)
is ...
In this paper, we consider non-stationary response variables and covariates, where the marginal distributions and the associated copula may be time-dependent...
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The eccentricity of a vertex \(v\)
in a graph \(G\)
is the maximum distance
between \(v\)
and any other vertex of \(G\)
. The diameter of a graph `(...
A graceful difference labeling (gdl for short) of a directed graph \(G\)
with vertex set \(V\)
is a bijection `(f:V\rightarrow{1,\ldots,\vert V\vert}...
Given a directed graph \(G=(V,A)\)
, capacity and cost functions on \(A\)
, a root \(r\)
, a subset \(T \subset V\)
of terminals, and an integer \(k\)
...
We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to tes...
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