Now showing items 60-79 of 141

• #### Generalized Nash equilibria for SaaS/PaaS Clouds ﻿

(European Journal of Operational Research, 2014-12-31)
Cloud computing is an emerging technology that allows to access computing resources on a pay-per-use basis. The main challenges in this area are the efficient performance management and the energy costs minimization. In ...
• #### Generalized restless bandits and the knapsack problem for perishable inventories ﻿

(Operations Research, 2014-12-31)
In this paper we introduce the knapsack problem for perishable inventories concerning the optimal dynamic allocation of a collection of products to a limited knapsack. The motivation for designing such a problem comes from ...
• #### Heavy-traffic analysis of a multiple-phase network with discriminatory processor sharing ﻿

(Operations Research, 2011-12-31)
We analyze a generalization of the discriminatory processor-sharing (DPS) queue in a heavy-traffic setting. Customers present in the system are served simultaneously at rates controlled by a vector of weights. We assume ...
• #### Heavy-traffic analysis of the M/PH/1 Discriminatory Processor Sharing queue with phase-dependent weights ﻿

(Performance Evaluation Review, 2009-12-31)
We analyze a generalization of the Discriminatory Processor Sharing (DPS) queue in a heavy-traffic setting. Customers present in the system are served simultaneously at rates controlled by a vector of weights. We assume ...
• #### Heavy-traffic revenue maximization in parallel multiclass queues ﻿

(Performance Evaluation, 2013-12-31)
Motivated by revenue maximization in server farms with admission control, we investigate the optimal scheduling in parallel processor-sharing queues. Incoming customers are distinguished in multiple classes and we define ...
• #### Hierarchical modelling of patient-reported outcomes data based on the beta-binomial distribution ﻿

(2017-12-13)
The beta-binomial distribution does not belong to the exponential family and, hence classical regression techniques cannot be used when dealing with outcomes following the mentioned distribution. In this thesis we propose ...
• #### Hybridizing Cartesian Genetic Programming and Harmony Search for Adaptive Feature Construction in Supervised Learning Problems ﻿

(Applied Soft Computing, 2017-02-28)
The advent of the so-called Big Data paradigm has motivated a flurry of research aimed at enhancing machine learning models by following very di- verse approaches. In this context this work focuses on the automatic con- ...
• #### Improved Quantification of Important Beer Quality Parameters based on Non-linear Calibration Methods applied to FT-MIR Spectra ﻿

(Analytical and Bioanalytical Chemistry, 2016-07-14)
During the production process of beer, it is of utmost importance to guarantee a high consistency of the beer quality. For instance, the bitterness is an essential quality parameter which has to be controlled within the ...
• #### An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study ﻿

(Swarm Intelligence, 2017-03-30)
A variety of general strategies have been applied to enhance the performance of multi-objective optimization algorithms for many-objective optimization problems (those with more than three objectives). One of these strategies ...
• #### Joint topology optimization, power control and spectrum allocation for intra-vehicular multi-hop sensor networks using dandelion-encoded heuristics ﻿

(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016-01-01)
In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging characteristics of the intra-vehicular radio environment and the stringent robustness ...
• #### K-means for massive data ﻿

(2019-04-30)
The $K$-means algorithm is undoubtedly one of the most popular clustering analysis techniques, due to its easiness in the implementation, straightforward parallelizability and competitive computational complexity, when ...
• #### KETpic-Matlab Toolbox for LaTeX High-Quality Graphical Artwork in Educational Materials on Bézier Curve Algorithms at a Master Level ﻿

(Lecture Notes in Computer Science, 2017-07)
This paper introduces a new toolbox to generate high-quality graphical artwork about the main algorithms for Bézier curves and related topics. The package has been implemented by the authors as a supporting middleware tool ...
• #### Learning to classify software defects from crowds: a novel approach ﻿

(Applied Soft Computing, 2017-11-01)
In software engineering, associating each reported defect with a cate- gory allows, among many other things, for the appropriate allocation of resources. Although this classification task can be automated using stan- dard ...
• #### Load balancing in processor sharing systems ﻿

(Telecommunication Systems, 2011-12-31)
We investigate optimal load balancing strategies for a multi-class multi-server processor-sharing system with a Poisson input stream, heterogeneous service rates, and a server-dependent holding cost per unit time. Specifically, ...
• #### A local search method for graph clustering heuristics based on partitional distribution learning ﻿

(IEEE Congress on Evolutionary Computation, 2017)
The community structure of complex networks reveals hidden relationships in the organization of their constituent nodes. Indeed, many practical problems stemming from different fields of knowledge such as Biology, Sociology, ...
• #### Mallows and generalized Mallows model for matchings ﻿

(Bernoulli, 2019-02-25)
The Mallows and Generalized Mallows Models are two of the most popular probability models for distribu- tions on permutations. In this paper, we consider both models under the Hamming distance. This models can be seen as ...
• #### Measuring the Class-imbalance Extent of Multi-class Problems ﻿

(Pattern Recognition Letter, 2017-07-30)
Since many important real-world classification problems involve learning from unbalanced data, the challenging class-imbalance problem has lately received con- siderable attention in the community. Most of the methodological ...
• #### Millimeter Wave V2V Communications: Distributed Association and Beam Alignment ﻿

(IEEE Journal on Selected Areas in Communications, 2017)
Recently millimeter-wave bands have been postulated as a means to accommodate the foreseen extreme bandwidth demands in vehicular communications, which result from the dissemination of sensory data to nearby vehicles for ...
• #### Modelling latent trends from spatio-temporally grouped data using composite link mixed models ﻿

(2016-07)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions. The aggregation process is done for several reasons: to protect confidential patients' information, to compare with other datasets at a ...
• #### Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model ﻿

(Theoretical and Applied Genetics, 2017-04-03)
Adjustment for spatial trends in plant breeding field trials is essential for efficient evaluation and selection of genotypes. Current mixed model methods of spatial analysis are based on a multi-step modelling process ...