Search results for "Ensembl"

showing 10 items of 165 documents

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

2014

The file attached to this record is the author's final peer reviewed version. The publisher's final version can be found by following the DOI link. The ensemble structure is a computational intelligence supervised strategy consisting of a pool of multiple operators that compete among each other for being selected, and an adaptation mechanism that tends to reward the most successful operators. In this paper we extend the idea of the ensemble to multiple local search logics. In a memetic fashion, the search structure of an ensemble framework cooperatively/competitively optimizes the problem jointly with a pool of diverse local search algorithms. In this way, the algorithm progressively adapts…

Structure (mathematical logic)Theoretical computer sciencebusiness.industryComputer scienceMeta-heuristicsComputational intelligenceAdaptive algorithmsDifferential evolutionLocal search (optimization)OptimisationDifferential evolutionAdaptation (computer science)businessGlobal optimizationAlgorithmMetaheuristicEnsembleMemetic ComputingCurse of dimensionality
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An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals

2022

Emotion charting using multimodal signals has gained great demand for stroke-affected patients, for psychiatrists while examining patients, and for neuromarketing applications. Multimodal signals for emotion charting include electrocardiogram (ECG) signals, electroencephalogram (EEG) signals, and galvanic skin response (GSR) signals. EEG, ECG, and GSR are also known as physiological signals, which can be used for identification of human emotions. Due to the unbiased nature of physiological signals, this field has become a great motivation in recent research as physiological signals are generated autonomously from human central nervous system. Researchers have developed multiple methods for …

Support Vector MachineEmotionsWavelet AnalysisHumansElectroencephalographyElectrical and Electronic EngineeringArousalemotion charting; EEG signals; physiological signals; ECG signals; ICA; stacked autoencoder; ensemble classifierVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550BiochemistryInstrumentationAtomic and Molecular Physics and OpticsAnalytical ChemistrySensors
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Microcanonical Determination of the Interface Tension of Flat and Curved Interfaces from Monte Carlo Simulations

2012

The investigation of phase coexistence in systems with multi-component order parameters in finite systems is discussed, and as a generic example, Monte Carlo simulations of the two-dimensional q-state Potts model (q=30) on LxL square lattices (40<=L<=100) are presented. It is shown that the microcanonical ensemble is well-suited both to find the precise location of the first order phase transition and to obtain an accurate estimate for the interfacial free energy between coexisting ordered and disordered phases. For this purpose, a microcanonical version of the heatbath algorithm is implemented. The finite size behaviour of the loop in the curve describing the inverse temperature vers…

Thermal equilibriumPhysicsPhase transitionSpinodalStatistical Mechanics (cond-mat.stat-mech)CondensationMonte Carlo methodFOS: Physical sciencesCondensed Matter Physics01 natural sciences010305 fluids & plasmasMicrocanonical ensemblePhase (matter)0103 physical sciencesGeneral Materials ScienceStatistical physics010306 general physicsCondensed Matter - Statistical MechanicsPotts model
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Ensemble Feature Selection Based on the Contextual Merit

2001

Recent research has proved the benefits of using ensembles of classifiers for classification problems. Ensembles constructed by machine learning methods manipulating the training set are used to create diverse sets of accurate classifiers. Different feature selection techniques based on applying different heuristics for generating base classifiers can be adjusted to specific domain characteristics. In this paper we consider and experiment with the contextual feature merit measure as a feature selection heuristic. We use the diversity of an ensemble as evaluation function in our new algorithm with a refinement cycle. We have evaluated our algorithm on seven data sets from UCI. The experiment…

Training setComputer sciencebusiness.industryHeuristicPattern recognitionFeature selectionContext (language use)Machine learningcomputer.software_genreEvaluation functionComputingMethodologies_PATTERNRECOGNITIONEnsembles of classifiersFeature (computer vision)Artificial intelligenceHeuristicsbusinesscomputer
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Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics

2001

Recent research has proven the benefits of using ensembles of classifiers for classification problems. Ensembles of diverse and accurate base classifiers are constructed by machine learning methods manipulating the training sets. One way to manipulate the training set is to use feature selection heuristics generating the base classifiers. In this paper we examine two of them: correlation-based and contextual merit -based heuristics. Both rely on quite similar assumptions concerning heterogeneous classification problems. Experiments are considered on several data sets from UCI Repository. We construct fixed number of base classifiers over selected feature subsets and refine the ensemble iter…

Training setbusiness.industryComputer scienceFeature selectionPattern recognitionBase (topology)Machine learningcomputer.software_genreExpert systemRandom subspace methodComputingMethodologies_PATTERNRECOGNITIONEnsembles of classifiersFeature (machine learning)Artificial intelligencebusinessHeuristicscomputerCascading classifiers
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Structure of longitudinal chromomagnetic fields in high energy collisions

2014

We compute expectation values of spatial Wilson loops in the forward light cone of high-energy collisions. We consider ensembles of gauge field configurations generated from a classical Gaussian effective action as well as solutions of high-energy renormalization group evolution with fixed and running coupling. The initial fields correspond to a color field condensate exhibiting domain-like structure over distance scales of order the saturation scale. At later times universal scaling emerges at large distances for all ensembles, with a nontrivial critical exponent. Finally, we compare the results for the Wilson loop to the two-point correlator of magnetic fields.

We compute expectation values of spatial Wilson loops in the forward light cone of high-energy collisions. We consider ensembles of gauge field configurations generated from a classical Gaussian effective action as well as solutions of high-energy renormalization group evolution with fixed and running coupling. The initial like structure over distance scales of oder the saturation scale. At later times universal scaling emerges at large distances for all ensembles with a nontrivial critical exponent. Finally we compare the resulats for the Wilson loop to the two-point correlator of magnetic fields. (C) 2014 The Authors. Published by Elsevier BV This is an open access article under the CC BY licenseNuclear and High Energy PhysicsWilson loopLARGE NUCLEINuclear TheoryField (physics)FOS: Physical sciences114 Physical sciences01 natural sciencesColor-glass condensateRENORMALIZATION-GROUPNuclear Theory (nucl-th)GLUON DISTRIBUTION-FUNCTIONSHigh Energy Physics - Phenomenology (hep-ph)Light cone0103 physical sciencesSCATTERINGGauge theory010306 general physicsSMALL-XEffective actionPhysicsCORRELATORSta114010308 nuclear & particles physicsCOLOR GLASS CONDENSATERenormalization groupEVOLUTIONJIMWLK EQUATIONHigh Energy Physics - PhenomenologySATURATIONQuantum electrodynamicsCritical exponentPhysics Letters B
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Grand-canonical approach to density functional theory of electrocatalytic systems: Thermodynamics of solid-liquid interfaces at constant ion and elec…

2018

Properties of solid-liquid interfaces are of immense importance for electrocatalytic and electrochemical systems, but modeling such interfaces at the atomic level presents a serious challenge and approaches beyond standard methodologies are needed. An atomistic computational scheme needs to treat at least part of the system quantum mechanically to describe adsorption and reactions, while the entire system is in thermal equilibrium. The experimentally relevant macroscopic control variables are temperature, electrode potential, and the choice of the solvent and ions, and these need to be explicitly included in the computational model as well; this calls for a thermodynamic ensemble with fixed…

Work (thermodynamics)Materials scienceImplicit solvationGeneral Physics and AstronomyElectronDielectric010402 general chemistry01 natural sciencesELECTROCHEMISTRYthermodynamicsCHEMISTRY0103 physical sciencesWATERsolid-liquid interfacesStatistical physicsPhysical and Theoretical Chemistryrajapintailmiötta116QuantumAB-INITIOThermal equilibriumSELF-CONSISTENTta114010304 chemical physicstiheysfunktionaaliteoriaSIMULATIONS0104 chemical sciencesGrand canonical ensembleREDUCTIONCONTINUUMSOLVATIONSolvent modelsStandard electrode potentialtermodynamiikkakatalyysiDensity functional theoryElectronic densityAPPROXIMATIONElectrode potential
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Electric Field Orientation Dependence of Electron Spin Relaxation in Wurtzite GaN

2012

Wurtzite GaNEnsemble Monte CarloSpin dynamicsSettore FIS/03 - Fisica Della Materia
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Numerical Evidences of Polarization Switching in PMN Type Relaxor Ferroelectrics

2011

We present a conceptual and computational framework for chemically ordered Pb(Mg 1/3 Nb 2/3 O 3) (PMN) type supercells violating disorder of the host lattice. The effective Hamiltonian is specified by invariance under permutations of supercells and by the dipole-dipole interaction supporting both local nonzero and zero mean polarization of the structure. Statistics treated in canonical ensemble within the mean field approach reveals emergence of polar nanoregions as supported by interplay between the (random) initial state polarization of supercells and their interactions increased at cooling.

Zero meanCanonical ensemblePhysicsCondensed matter physicsCondensed Matter PhysicsPolarization (waves)Electronic Optical and Magnetic MaterialsCondensed Matter::Materials Sciencesymbols.namesakeMean field theoryControl and Systems EngineeringLattice (order)Materials ChemistryCeramics and CompositessymbolsPolarElectrical and Electronic EngineeringHamiltonian (quantum mechanics)Integrated Ferroelectrics
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Veltījums Latvijas Jaunatnes teātra ansamblim [dzejolis]

1990

Poetry by Latvian biologist, orchid researcher Ernesto Foldats is dedicated to the ensemble of the Latvian Youth Theater. Typewritten on 4 pages. Stored in the Museum of the University of Latvia Botanical and Mycological collections.

Zinātnieka mantojumsdzejaLatvijas Jaunatnes teātra ansamblisLatvian Youth Theater Ensemble:HUMANITIES and RELIGION::Aesthetic subjects::Theatre [Research Subject Categories]Ernests FoldātsZinātnieka personībaVenezuelaVenecuēlaErnesto Foldatpoetry
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