Browsing Data Science (DS) by Title
Now showing items 99118 of 146

On the applicability of ant colony optimization to nonintrusive load monitoring in smart grids
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 20151231)Along with the proliferation of the Smart Grid, power load disaggregation is a research area that is lately gaining a lot of popularity due to the interest of energy distribution companies and customers in identifying ... 
On the estimation of variance parameters in nonstandard generalised linear mixed models: Application to penalised smoothing
(Statistics and Computing, 20180124)We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (1977)'s work, but it is able to deal with models that have a precision matrix ... 
On the evaluation and selection of classifier learning algorithms with crowdsourced data
(Applied Soft Computing, 20190216)In many current problems, the actual class of the instances, the ground truth, is unavail able. Instead, with the intention of learning a model, the labels can be crowdsourced by harvesting them from different annotators. ... 
On the Gittins index in the M/G/1 queue
(Queueing Systems, 20091231)For an M/G/1 queue with the objective of minimizing the mean number of jobs in the system, the Gittins index rule is known to be optimal among the set of nonanticipating policies. We develop properties of the Gittins ... 
On the relevance of preprocessing in predictive maintenance for dynamic systems
(Predictive Maintenance in Dynamic Systems, 2018)The complexity involved in the process of realtime datadriven monitoring dynamic systems for predicted maintenance is usually huge. With more or less indepth any datadriven approach is sensitive to data preprocessing, ... 
OnLine Dynamic Time Warping for Streaming Time Series
(Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2017. Lecture Notes in Computer Science, 201709)Dynamic Time Warping is a wellknown measure of dissimilarity between time series. Due to its flexibility to deal with nonlinear distortions along the time axis, this measure has been widely utilized in machine learning ... 
Opportunistic schedulers for optimal scheduling of flows in wireless systems with ARQ feedback
(Final Program  2012 24th International Teletraffic Congress, ITC 24, 20121231)In this paper we study three opportunistic schedulers for the problem of optimal multiclass flowlevel scheduling in wireless downlink and uplink systems. For user channels we employ the GilbertElliot model of good and ... 
Optimal anticipative congestion control of flows with timevarying input stream
(Performance Evaluation, 20121231)This paper is concerned with a new type of congestion control method that we call anticipative congestion control, which exploits probabilistic information available at a network node about congestion at other nodes. ... 
Optimal congestion control of TCP flows for internet routers
(Performance Evaluation Review, 20121231)In this work we address the problem of fast and fair transmission of flows in a router, which is a fundamental issue in networks like the Internet. We model the interaction between a TCP source and a bottleneck queue with ... 
Optimal planning of slowramping power production in energy systems with renewables forecasts and limited storage
(2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and DLA 2014  Conference Proceedings, 20141231)We address the costefficient operation of an energy production system under renewables uncertainty. We develop an MDP model for an idealized system with the following features: (1) perfectly predictable power demand, (2) ... 
Optimal policy for multiclass scheduling in a single server queue
(21st International Teletraffic Congress, ITC 21: Traffic and Performance Issues in Networks of the Future  Final Programme, 20091231)In this paper we apply the Gittins optimality result to characterize the optimal scheduling discipline in a multiclass M/G/1 queue. We apply the general result to several cases of practical interest where the service time ... 
Optimal routing in parallel, nonobservable queues and the price of anarchy revisited
(2010 22nd International Teletraffic Congress  Proceedings, ITC 22, 20101231)We consider a network of parallel, nonobservable queues and analyze the "price of anarchy", an index measuring the worstcase performance loss of a decentralized system with respect to its centralized counterpart in ... 
An optimization tool to design the field of a Solar Power Tower plant allowing heliostats of different sizes
(International Journal of Energy Research, 20161030)The design of a Solar Power Tower plant involves the optimization of the heliostat field layout. Fields are usually designed to have all heliostats of identical size. Although the use of a single heliostat size has been ... 
A parallel BranchandFix Coordination based matheuristic algorithm for solving large sized multistage stochastic mixed 01 problems
(European Journal of Operational Research, 20160826)A parallel matheuristic algorithm is presented as a spinoff from the exact BranchandFix Coordination (BFC) algorithm for solving multistage stochastic mixed 01 problems. Some steps to guarantee the solution’s optimality ... 
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints
(IEEE Transactions on Robotics, 20151231)Evolutionary algorithmbased unmanned aerial vehicle (UAV) path planners have been extensively studied for their effectiveness and flexibility. However, they still suffer from a drawback that the highquality waypoints in ... 
Penalized composite link mixed models for twodimensional count data
(201505)Mortality data provide valuable information for the study of the spatial distribution of mortality risk, in disciplines such as spatial epidemiology, medical demography, and public health. However, they are often available ... 
Penalized composite link models for aggregated spatial count data: a mixed model approach
(Spatial Statistics, 20160101)Mortality data provide valuable information for the study of the spatial distri bution of mortality risk, in disciplines such as spatial epidemiology and public health. However, they are frequently available in an aggregated ... 
perm mateda: A matlab toolbox of estimation of distribution algorithms for permutationbased combinatorial optimization problems
(ACM Transactions on Mathematical Software, 2018)Permutation problems are combinatorial optimization problems whose solutions are naturally codified as permutations. Due to their complexity, motivated principally by the factorial cardinality of the search space of ... 
Poisson excess relative risk models: New implementations and software
(SORT, 20190301)Two new implementations for fitting Poisson excess relative risk methods are proposed for assumed simple models. This allows for estimation of the excess relative risk associated with a unique exposure, where the background ... 
Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach
(Statistics in Medicine, 20170209)We propose a semiparametric mixed–effects model (SNMM) using penalized splines to clas sify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone ...